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Upload adetailer using SD-Hub extension

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adetailer/JTeethSeg.pt ADDED
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adetailer/adetailer2dArmpitYolov8_v10Segmentation.html ADDED
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+
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+ <head>
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+ <meta charset="UTF-8">
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+ <link rel="stylesheet" type="text/css" href="/home/studio-lab-user/A1111/extensions/sd-civitai-browser-plus/style_html.css">
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+ </head>
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+ <div class="model-block">
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+ <h2><a href=https://civitai.com/models/948634 target="_blank" id="model_header">ADetailer 2d armpit yolov8 [bbox + segmentation]</a></h2>
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+ <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/aa4666lo" target="_blank">aa4666lo</a><div class="avatar"><img src=https://cdn.discordapp.com/embed/avatars/2.png></div></h3>
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+ <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
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+ <dl id="info_block">
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+ <dt>Version</dt>
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+ <dd>v1.0 segmentation</dd>
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+ <dt>Base Model</dt>
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+ <dd>Other</dd>
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+ <dt>Published</dt>
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+ <dd>2024-11-15</dd>
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+ <dt>Availability</dt>
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+ <dd>Public</dd>
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+ <dt>CivitAI Tags</dt>
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+ <dd>
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+ <div class="civitai-tags-container">
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+ <span class="civitai-tag">tool</span>
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+ </div>
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+ </dd>
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+ <dt>Download Link</dt>
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+ <dd><a href=https://civitai.com/api/download/models/1064693 target="_blank">https://civitai.com/api/download/models/1064693</a></dd>
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+ </dl>
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+ <div style="align-self:center; min-width:320px;">
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+ <div>
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+ <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Have different permissions when sharing merges</p>
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+ </div>
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+ <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
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+ <div class="model-description">
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+ <h2>Description</h2>
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+ <p>腋を検出するために、イラストのみで学習したyolov8モデルです。</p><p>yolov8 model trained only for illustration to detect the armpit.</p><p></p><p>bbox版の既知の欠点として、standing split時に股間周辺を検出することが有ります。適宜`<span style="color:rgb(229, 231, 235)">Detection model confidence threshold</span>`の値を調整してください。</p><p><strong><span style="color:rgb(250, 176, 5)">例:</span></strong></p><ul><li><p><span style="color:rgb(121, 80, 242)">Detection model confidence threshold = 0.65~</span></p></li></ul><p></p><p>また、キャラクターが一人の場合には`<span style="color:rgb(250, 176, 5)">Mask only the top k largest`</span><span style="color:rgb(229, 231, 235)">を</span>2<span style="color:rgb(229, 231, 235)">にするのも良いと思われます。</span></p><p></p><p>bbox版とsegmentation版どちらも画像が暗かったり、既に腋の書き込みが��いと上手く検出しない傾向があります。</p><p></p><p>モデルによってはノイズが残ることが有ります。</p><p></p><ol><li><p>2024/11/16 <span style="color:rgb(171, 178, 191)">segmentation</span>版追加</p></li></ol>
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adetailer/adetailer2dArmpitYolov8_v10Segmentation.preview.png ADDED
adetailer/adetailer2dBellyTorso_v152.html ADDED
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+ <head>
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+ <meta charset="UTF-8">
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+ <link rel="stylesheet" type="text/css" href="/home/studio-lab-user/A1111/extensions/sd-civitai-browser-plus/style_html.css">
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+ </head>
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+ <div class="model-block">
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+ <h2><a href=https://civitai.com/models/957701 target="_blank" id="model_header">ADetailer 2d belly(torso/stomach) yolo [segmentation]</a></h2>
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+ <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/aa4666lo" target="_blank">aa4666lo</a><div class="avatar"><img src=https://cdn.discordapp.com/embed/avatars/2.png></div></h3>
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+ <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
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+ <dl id="info_block">
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+ <dt>Version</dt>
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+ <dd>v1.52</dd>
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+ <dt>Base Model</dt>
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+ <dd>Other</dd>
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+ <dt>Published</dt>
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+ <dd>2024-12-05</dd>
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+ <dt>Availability</dt>
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+ <dd>Public</dd>
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+ <dt>CivitAI Tags</dt>
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+ <dd>
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+ <div class="civitai-tags-container">
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+ <span class="civitai-tag">tool</span>
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+ </div>
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+ </dd>
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+ <dt>Download Link</dt>
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+ <dd><a href=https://civitai.com/api/download/models/1132317 target="_blank">https://civitai.com/api/download/models/1132317</a></dd>
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+ </dl>
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+ <div style="align-self:center; min-width:320px;">
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+ <div>
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+ <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Have different permissions when sharing merges</p>
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+ </div>
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+ </div>
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+ </div>
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+ <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
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+ <div class="model-description">
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+ <h2>Description</h2>
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+ <p>イラストキャラの下腹部(belly)を検出するためのモデルでしたが、アノテーション中に胴体(torso)も含めた大雑把な範囲を指定したので、多分腹回りを検出するようになったモデルです。一応、腸骨から剣状突起を目安に範囲指定してあります。(タグで書くとhip bonesからunderboob辺りか?)</p><p></p><p>画像を100枚程度で作成したために、v1.0は誤検出やそもそも検出しないことが多々有ります。</p><p><s>実写は学習していないし試してもいないので、検出するか分かりません。</s></p><p></p><p></p><p><strong><span style="color:rgb(250, 176, 5)">既知の検出が弱い構図など</span></strong></p><ul><li><p><span style="color:rgb(76, 110, 245)">上からの構図 (upside-down)</span></p></li><li><p><s><span style="color:rgb(76, 110, 245)">白黒やグレースケールの画像 </span></s><span style="color:#fab005">(v1.3で改善)</span></p></li><li><p><span style="color:rgb(76, 110, 245)">腹の上に手が被さるポーズ</span></p></li><li><p><span style="color:rgb(76, 110, 245)">腹の上に服を着用している画像(透けていると多少検出します)</span></p></li></ul><p></p><p></p><p><strong>English:by Claude3.5 sonnet</strong></p><p></p><p>This is a model designed to detect the lower abdomen (belly) of illustrated characters. However, during the annotation process, I specified rough areas that included the torso, so it probably became a model that detects the general midsection area. For reference, the specified range is roughly from the iliac bone to the xiphoid process. (hip bones-underboob)</p><p></p><p>Since it was created using only about 100 images, version 1.0 frequently has false detections or sometimes fails to detect at all.</p><p></p><p><s>The model hasn't been trained on or tested with real photographs, so I'm unsure if it would detect them.</s></p><p></p><p><strong><span style="color:rgb(250, 176, 5)">Known weak points in detection include:</span></strong></p><p><span style="color:rgb(76, 110, 245)">- Bird's eye view angles (upside-down)</span></p><p><span style="color:rgb(76, 110, 245)">- </span><s><span style="color:rgb(76, 110, 245)">Black and white or grayscale images</span></s><span style="color:rgb(76, 110, 245)"> </span><span style="color:#fab005">(Improved in v1.3)</span></p><p><span style="color:rgb(76, 110, 245)">- Pose with hands over belly</span></p><p><span style="color:rgb(76, 110, 245)">- Images where clothes are worn over the stomach (though it can detect somewhat through semi-transparent clothing)</span></p>
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+ {
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+ "activation text": "",
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+ "description": "\u30a4\u30e9\u30b9\u30c8\u30ad\u30e3\u30e9\u306e\u4e0b\u8179\u90e8\uff08belly\uff09\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306e\u30e2\u30c7\u30eb\u3067\u3057\u305f\u304c\u3001\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u4e2d\u306b\u80f4\u4f53\uff08torso\uff09\u3082\u542b\u3081\u305f\u5927\u96d1\u628a\u306a\u7bc4\u56f2\u3092\u6307\u5b9a\u3057\u305f\u306e\u3067\u3001\u591a\u5206\u8179\u56de\u308a\u3092\u691c\u51fa\u3059\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u30e2\u30c7\u30eb\u3067\u3059\u3002\u4e00\u5fdc\u3001\u8178\u9aa8\u304b\u3089\u5263\u72b6\u7a81\u8d77\u3092\u76ee\u5b89\u306b\u7bc4\u56f2\u6307\u5b9a\u3057\u3066\u3042\u308a\u307e\u3059\u3002(\u30bf\u30b0\u3067\u66f8\u304f\u3068hip bones\u304b\u3089underboob\u8fba\u308a\u304b\uff1f)\u753b\u50cf\u3092100\u679a\u7a0b\u5ea6\u3067\u4f5c\u6210\u3057\u305f\u305f\u3081\u306b\u3001v1.0\u306f\u8aa4\u691c\u51fa\u3084\u305d\u3082\u305d\u3082\u691c\u51fa\u3057\u306a\u3044\u3053\u3068\u304c\u591a\u3005\u6709\u308a\u307e\u3059\u3002\u5b9f\u5199\u306f\u5b66\u7fd2\u3057\u3066\u3044\u306a\u3044\u3057\u8a66\u3057\u3066\u3082\u3044\u306a\u3044\u306e\u3067\u3001\u691c\u51fa\u3059\u308b\u304b\u5206\u304b\u308a\u307e\u305b\u3093\u3002\u65e2\u77e5\u306e\u691c\u51fa\u304c\u5f31\u3044\u69cb\u56f3\u306a\u3069\u4e0a\u304b\u3089\u306e\u69cb\u56f3 (upside-down)\u767d\u9ed2\u3084\u30b0\u30ec\u30fc\u30b9\u30b1\u30fc\u30eb\u306e\u753b\u50cf (v1.3\u3067\u6539\u5584)\u8179\u306e\u4e0a\u306b\u624b\u304c\u88ab\u3055\u308b\u30dd\u30fc\u30ba\u8179\u306e\u4e0a\u306b\u670d\u3092\u7740\u7528\u3057\u3066\u3044\u308b\u753b\u50cf\uff08\u900f\u3051\u3066\u3044\u308b\u3068\u591a\u5c11\u691c\u51fa\u3057\u307e\u3059\uff09English:by Claude3.5 sonnetThis is a model designed to detect the lower abdomen (belly) of illustrated characters. However, during the annotation process, I specified rough areas that included the torso, so it probably became a model that detects the general midsection area. For reference, the specified range is roughly from the iliac bone to the xiphoid process. (hip bones-underboob)Since it was created using only about 100 images, version 1.0 frequently has false detections or sometimes fails to detect at all.The model hasn't been trained on or tested with real photographs, so I'm unsure if it would detect them.Known weak points in detection include:- Bird's eye view angles (upside-down)- Black and white or grayscale images (Improved in v1.3)- Pose with hands over belly- Images where clothes are worn over the stomach (though it can detect somewhat through semi-transparent clothing)",
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+ "belly_seg_v1.52.pt"
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+ ]
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+ }
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adetailer/adetailer2dOnePieceSwimsuit_v102_1012966.html ADDED
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+ <link rel="stylesheet" type="text/css" href="/home/studio-lab-user/A1111/extensions/sd-civitai-browser-plus/style_html.css">
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+ <div class="model-block">
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+ <h2><a href=https://civitai.com/models/989087 target="_blank" id="model_header">ADetailer 2d one-piece_swimsuit(competition_swimsuit type) yolo11n [segmentation]</a></h2>
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+ <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/aa4666lo" target="_blank">aa4666lo</a><div class="avatar"><img src=https://cdn.discordapp.com/embed/avatars/2.png></div></h3>
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+ <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
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+ <dl id="info_block">
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+ <dt>Version</dt>
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+ <dd>v1.042</dd>
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+ <dt>Base Model</dt>
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+ <dd>Other</dd>
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+ <dt>Published</dt>
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+ <dd>2024-11-30</dd>
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+ <dt>Availability</dt>
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+ <dd>Public</dd>
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+ <dt>CivitAI Tags</dt>
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+ <dd>
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+ <div class="civitai-tags-container">
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+ <span class="civitai-tag">tool</span>
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+ </div>
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+ </dd>
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+ <dt>Download Link</dt>
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+ <dd><a href=https://civitai.com/api/download/models/1114648 target="_blank">https://civitai.com/api/download/models/1114648</a></dd>
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+ </dl>
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+ <div style="align-self:center; min-width:320px;">
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+ <div>
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+ <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Have different permissions when sharing merges</p>
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+ </div>
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+ </div>
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+ <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
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+ <div class="model-description">
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+ <h2>Description</h2>
38
+ <p>yolo11n-segで学習した、イラストでのワンピース水着(競泳水着)を検出するモデルです。</p><p>水着が腕などで分断されているものは、それぞれの領域をマスクして学習しました。また、後ろ姿と横からの構図でも一応検出すると思います。</p><p>スリングショット水着やビキニ、スカート・フリルなどが付いたデザインは学習していません。</p><p></p><p><strong><span style="color:rgb(250, 176, 5)">yolo11n-segで学習したため、使用している仮想環境内のultralyticsバージョンを8.3.0以上にアップデートしてください。</span></strong></p><pre><code style="text-wrap: wrap">pip install -u ultralytics</code></pre><p></p><p><strong><span style="color:rgb(250, 176, 5)">detection model confidence threshold = 0.6 以上での使用を推奨</span></strong></p><p></p><p><strong>モデル性能(v1.02):</strong></p><ul><li><p><strong>mAP50:0.823</strong></p></li><li><p><strong>mAP50-98:0.672</strong></p></li><li><p><strong>Precision:0.949</strong></p></li><li><p><strong>Recall:0.685</strong></p></li></ul><p></p><p><strong>モデル性能(v1.042):</strong></p><ul><li><p><strong>mAP50:0.835</strong></p></li><li><p><strong>mPA50-95:0.713</strong></p></li><li><p><strong>Precision:0.8947</strong></p></li><li><p><strong>Recall:0.7286</strong></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">誤検出しやすい物体:</span></p><ul><li><p><span style="color:rgb(76, 110, 245)">ニーハイ(thighhighs)</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着に隣接するグローブ(elbow gloves)</span></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">検出し難いケース:</span></p><ul><li><p><span style="color:rgb(76, 110, 245)">逆さま構図(upside-down)</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着と背景色が近い場合</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着にハイライトなどがあり、一部背景と同化している場合</span></p></li><li><p><span style="color:rgb(76, 110, 245)">腕を組んでいる場合の、下腹部の領域</span></p></li></ul><p></p><p></p><p><strong><em>English:Claude 3.5 sonnet.</em></strong></p><p>A YOLO11n-seg trained model for detecting one-piece swimsuits (competitive swimwear) in illustrations.</p><p>Areas where swimsuits are divided by arms or other body parts were masked separately during training. The model should also detect swimsuits from back and side view compositions.</p><p>Sling shot swimsuits, bikinis, and designs with skirts/frills were not included in the training data.</p><p></p><p><strong><span style="color:rgb(250, 176, 5)">Please update to ultralytics version 8.3.0 or higher in the virtual environment you are using, as it was learned on yolo11n-seg.</span></strong></p><pre><code style="text-wrap: wrap">pip install -u ultralytics</code></pre><p></p><p><strong><span style="color:rgb(250, 176, 5)">Recommended to use with detection model confidence threshold = 0.6 or higher</span></strong></p><p></p><p><strong>Model Performance(v1.02):</strong></p><ul><li><p><strong>mAP50:0.823</strong></p></li><li><p><strong>mAP50-98:0.672</strong></p></li><li><p><strong>Precision:0.949</strong></p></li><li><p><strong>Recall:0.685</strong></p></li></ul><p></p><p><strong>Model Performance(v1.042):</strong></p><ul><li><p><strong>mAP50:0.835</strong></p></li><li><p><strong>mPA50-95:0.713</strong></p></li><li><p><strong>Precision:0.8947</strong></p></li><li><p><strong>Recall:0.7286</strong></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">Objects prone to false detection:</span></p><ul><li><p><span style="color:rgb(121, 80, 242)">thighhighs</span></p></li><li><p><span style="color:rgb(121, 80, 242)">elbow gloves adjacent to swimsuits</span></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">Difficult detection cases:</span></p><ul><li><p><span style="color:rgb(121, 80, 242)">Upside-down compositions</span></p></li><li><p><span style="color:rgb(121, 80, 242)">When swimsuit and background colors are similar</span></p></li><li><p><span style="color:rgb(121, 80, 242)">When highlights on the swimsuit partially blend with the background</span></p></li><li><p><span style="color:rgb(121, 80, 242)">Lower abdominal area when arms are crossed</span></p></li></ul>
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+ <div class="model-block">
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+ <h2><a href=https://civitai.com/models/989087 target="_blank" id="model_header">ADetailer 2d one-piece_swimsuit(competition_swimsuit type) yolo11n [segmentation]</a></h2>
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+ <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/aa4666lo" target="_blank">aa4666lo</a><div class="avatar"><img src=https://cdn.discordapp.com/embed/avatars/2.png></div></h3>
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+ <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
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+ <dl id="info_block">
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+ <dt>Version</dt>
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+ <dd>v1.042</dd>
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+ <dt>Base Model</dt>
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+ <dd>Other</dd>
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+ <dt>Published</dt>
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+ <dd>2024-11-30</dd>
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+ <dt>Availability</dt>
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+ <dd>Public</dd>
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+ <dt>CivitAI Tags</dt>
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+ <dd>
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+ <div class="civitai-tags-container">
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+ <span class="civitai-tag">tool</span>
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+ </div>
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+ </dd>
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+ <dt>Download Link</dt>
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+ <dd><a href=https://civitai.com/api/download/models/1114648 target="_blank">https://civitai.com/api/download/models/1114648</a></dd>
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+ </dl>
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+ <div style="align-self:center; min-width:320px;">
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+ <div>
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+ <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Have different permissions when sharing merges</p>
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+ </div>
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+ </div>
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+ </div>
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+ <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
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+ <div class="model-description">
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+ <h2>Description</h2>
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+ <p>yolo11n-segで学習した、イラストでのワンピース水着(競泳水着)を検出するモデルです。</p><p>水着が腕などで分断されているものは、それぞれの領域をマスクして学習しました。また、後ろ姿と横からの構図でも一応検出すると思います。</p><p>スリングショット水着やビキニ、スカート・フリルなどが付いたデザインは学習していません。</p><p></p><p><strong><span style="color:rgb(250, 176, 5)">yolo11n-segで学習したため、使用している仮想環境内のultralyticsバージョンを8.3.0以上にアップデートしてください。</span></strong></p><pre><code style="text-wrap: wrap">pip install -u ultralytics</code></pre><p></p><p><strong><span style="color:rgb(250, 176, 5)">detection model confidence threshold = 0.6 以上での使用を推奨</span></strong></p><p></p><p><strong>モデル性能(v1.02):</strong></p><ul><li><p><strong>mAP50:0.823</strong></p></li><li><p><strong>mAP50-98:0.672</strong></p></li><li><p><strong>Precision:0.949</strong></p></li><li><p><strong>Recall:0.685</strong></p></li></ul><p></p><p><strong>モデル性能(v1.042):</strong></p><ul><li><p><strong>mAP50:0.835</strong></p></li><li><p><strong>mPA50-95:0.713</strong></p></li><li><p><strong>Precision:0.8947</strong></p></li><li><p><strong>Recall:0.7286</strong></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">誤検出しやすい物体:</span></p><ul><li><p><span style="color:rgb(76, 110, 245)">ニーハイ(thighhighs)</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着に隣接するグローブ(elbow gloves)</span></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">検出し難いケース:</span></p><ul><li><p><span style="color:rgb(76, 110, 245)">逆さま構図(upside-down)</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着と背景色が近い場合</span></p></li><li><p><span style="color:rgb(76, 110, 245)">水着にハイライトなどがあり、一部背景と同化している場合</span></p></li><li><p><span style="color:rgb(76, 110, 245)">腕を組んでいる場合の、下腹部の領域</span></p></li></ul><p></p><p></p><p><strong><em>English:Claude 3.5 sonnet.</em></strong></p><p>A YOLO11n-seg trained model for detecting one-piece swimsuits (competitive swimwear) in illustrations.</p><p>Areas where swimsuits are divided by arms or other body parts were masked separately during training. The model should also detect swimsuits from back and side view compositions.</p><p>Sling shot swimsuits, bikinis, and designs with skirts/frills were not included in the training data.</p><p></p><p><strong><span style="color:rgb(250, 176, 5)">Please update to ultralytics version 8.3.0 or higher in the virtual environment you are using, as it was learned on yolo11n-seg.</span></strong></p><pre><code style="text-wrap: wrap">pip install -u ultralytics</code></pre><p></p><p><strong><span style="color:rgb(250, 176, 5)">Recommended to use with detection model confidence threshold = 0.6 or higher</span></strong></p><p></p><p><strong>Model Performance(v1.02):</strong></p><ul><li><p><strong>mAP50:0.823</strong></p></li><li><p><strong>mAP50-98:0.672</strong></p></li><li><p><strong>Precision:0.949</strong></p></li><li><p><strong>Recall:0.685</strong></p></li></ul><p></p><p><strong>Model Performance(v1.042):</strong></p><ul><li><p><strong>mAP50:0.835</strong></p></li><li><p><strong>mPA50-95:0.713</strong></p></li><li><p><strong>Precision:0.8947</strong></p></li><li><p><strong>Recall:0.7286</strong></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">Objects prone to false detection:</span></p><ul><li><p><span style="color:rgb(121, 80, 242)">thighhighs</span></p></li><li><p><span style="color:rgb(121, 80, 242)">elbow gloves adjacent to swimsuits</span></p></li></ul><p></p><p><span style="color:rgb(250, 176, 5)">Difficult detection cases:</span></p><ul><li><p><span style="color:rgb(121, 80, 242)">Upside-down compositions</span></p></li><li><p><span style="color:rgb(121, 80, 242)">When swimsuit and background colors are similar</span></p></li><li><p><span style="color:rgb(121, 80, 242)">When highlights on the swimsuit partially blend with the background</span></p></li><li><p><span style="color:rgb(121, 80, 242)">Lower abdominal area when arms are crossed</span></p></li></ul>
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+ <input type="radio" name="zoomRadio" id="zoomRadio2" class="zoom-radio">
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+ <label for="resetZoom" class="zoom-overlay"></label>
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+ </div></div></div></div>
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adetailer/adetailer2dOnePieceSwimsuit_v1042.json ADDED
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+ "activation text": "",
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+ "description": "yolo11n-seg\u3067\u5b66\u7fd2\u3057\u305f\u3001\u30a4\u30e9\u30b9\u30c8\u3067\u306e\u30ef\u30f3\u30d4\u30fc\u30b9\u6c34\u7740(\u7af6\u6cf3\u6c34\u7740)\u3092\u691c\u51fa\u3059\u308b\u30e2\u30c7\u30eb\u3067\u3059\u3002\u6c34\u7740\u304c\u8155\u306a\u3069\u3067\u5206\u65ad\u3055\u308c\u3066\u3044\u308b\u3082\u306e\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u9818\u57df\u3092\u30de\u30b9\u30af\u3057\u3066\u5b66\u7fd2\u3057\u307e\u3057\u305f\u3002\u307e\u305f\u3001\u5f8c\u308d\u59ff\u3068\u6a2a\u304b\u3089\u306e\u69cb\u56f3\u3067\u3082\u4e00\u5fdc\u691c\u51fa\u3059\u308b\u3068\u601d\u3044\u307e\u3059\u3002\u30b9\u30ea\u30f3\u30b0\u30b7\u30e7\u30c3\u30c8\u6c34\u7740\u3084\u30d3\u30ad\u30cb\u3001\u30b9\u30ab\u30fc\u30c8\u30fb\u30d5\u30ea\u30eb\u306a\u3069\u304c\u4ed8\u3044\u305f\u30c7\u30b6\u30a4\u30f3\u306f\u5b66\u7fd2\u3057\u3066\u3044\u307e\u305b\u3093\u3002yolo11n-seg\u3067\u5b66\u7fd2\u3057\u305f\u305f\u3081\u3001\u4f7f\u7528\u3057\u3066\u3044\u308b\u4eee\u60f3\u74b0\u5883\u5185\u306eultralytics\u30d0\u30fc\u30b8\u30e7\u30f3\u30928.3.0\u4ee5\u4e0a\u306b\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002pip install -u ultralyticsdetection model confidence threshold = 0.6 \u4ee5\u4e0a\u3067\u306e\u4f7f\u7528\u3092\u63a8\u5968\u30e2\u30c7\u30eb\u6027\u80fd(v1.02):mAP50:0.823mAP50-98:0.672Precision:0.949Recall:0.685\u30e2\u30c7\u30eb\u6027\u80fd(v1.042):mAP50:0.835mPA50-95:0.713Precision:0.8947Recall:0.7286\u8aa4\u691c\u51fa\u3057\u3084\u3059\u3044\u7269\u4f53:\u30cb\u30fc\u30cf\u30a4(thighhighs)\u6c34\u7740\u306b\u96a3\u63a5\u3059\u308b\u30b0\u30ed\u30fc\u30d6(elbow gloves)\u691c\u51fa\u3057\u96e3\u3044\u30b1\u30fc\u30b9:\u9006\u3055\u307e\u69cb\u56f3(upside-down)\u6c34\u7740\u3068\u80cc\u666f\u8272\u304c\u8fd1\u3044\u5834\u5408\u6c34\u7740\u306b\u30cf\u30a4\u30e9\u30a4\u30c8\u306a\u3069\u304c\u3042\u308a\u3001\u4e00\u90e8\u80cc\u666f\u3068\u540c\u5316\u3057\u3066\u3044\u308b\u5834\u5408\u8155\u3092\u7d44\u3093\u3067\u3044\u308b\u5834\u5408\u306e\u3001\u4e0b\u8179\u90e8\u306e\u9818\u57dfEnglish:Claude 3.5 sonnet.A YOLO11n-seg trained model for detecting one-piece swimsuits (competitive swimwear) in illustrations.Areas where swimsuits are divided by arms or other body parts were masked separately during training. The model should also detect swimsuits from back and side view compositions.Sling shot swimsuits, bikinis, and designs with skirts/frills were not included in the training data.Please update to ultralytics version 8.3.0 or higher in the virtual environment you are using, as it was learned on yolo11n-seg.pip install -u ultralyticsRecommended to use with detection model confidence threshold = 0.6 or higherModel Performance(v1.02):mAP50:0.823mAP50-98:0.672Precision:0.949Recall:0.685Model Performance(v1.042):mAP50:0.835mPA50-95:0.713Precision:0.8947Recall:0.7286Objects prone to false detection:thighhighselbow gloves adjacent to swimsuitsDifficult detection cases:Upside-down compositionsWhen swimsuit and background colors are similarWhen highlights on the swimsuit partially blend with the backgroundLower abdominal area when arms are crossed",
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adetailer/adetailer2dOnePieceSwimsuit_v1042.preview.png ADDED
adetailer/adetailerTeeth_v10.html ADDED
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+ <link rel="stylesheet" type="text/css" href="/home/studio-lab-user/A1111/extensions/sd-civitai-browser-plus/style_html.css">
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+ </head>
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+ <div class="model-block">
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+ <h2><a href=https://civitai.com/models/1019230 target="_blank" id="model_header">ADetailer Teeth Segmentation</a></h2>
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+ <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/JKC8515" target="_blank">JKC8515</a><div class="avatar"><img src=https://lh3.googleusercontent.com/a/AEdFTp7Gd4t4xUE9Hobsv4GCNHKk5co8DAO8kcQlROhp9w=s96-c></div></h3>
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+ <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
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+ <dl id="info_block">
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+ <dt>Version</dt>
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+ <dd>v1.0</dd>
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+ <dt>Base Model</dt>
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+ <dd>Other</dd>
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+ <dt>Published</dt>
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+ <dd>2024-12-08</dd>
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+ <dt>Availability</dt>
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+ <dd>Public</dd>
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+ <dt>CivitAI Tags</dt>
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+ <dd>
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+ <div class="civitai-tags-container">
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+ <span class="civitai-tag">tool</span><span class="civitai-tag">detailer</span><span class="civitai-tag">adetailer</span>
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+ </div>
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+ </dd>
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+ <dt>Download Link</dt>
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+ <dd><a href=https://civitai.com/api/download/models/1142843 target="_blank">https://civitai.com/api/download/models/1142843</a></dd>
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+ </dl>
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+ <div style="align-self:center; min-width:320px;">
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+ <div>
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+ <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Have different permissions when sharing merges</p>
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+ </div>
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+ </div>
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+ <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
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+ <div class="model-description">
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+ <h2>Description</h2>
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+ <p>Based on only about 120 images from open datasets and my own generation. Therefore, it should get better results on realistic ones. </p><p></p><p>Threshold set to 0.4~0.7 might be good. </p>
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+ </div>
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+ <label for="civitai-description" class="description-toggle-label"></label>
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+ <dt>Download Link</dt>
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+ <span class="civitai-tag">panties</span><span class="civitai-tag">bra</span><span class="civitai-tag">tool</span><span class="civitai-tag">adetailer</span>
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+ <p>これはAfter Detailer用の下着(パンツ、ブラ)検出モデルです。</p><p>このモデルはアニメ系の画像で学習しているため、実写系の画像への使用には適していません。</p><ul><li><p>panties_seg_v2.pt:パンツ検出モデル(yolov8n-seg)</p></li><li><p>bra_seg_v1.pt:ブラ検出モデル(yolov8n-seg)</p></li></ul><p>--------------------------------------------------</p><p>This is an underwear(panties, bra) detection model for After Detailer.</p><p>This model is trained on anime-style images and is not suitable for use with realistic images.</p><ul><li><p>panties_seg_v2.pt:Panties detection model(yolov8n-seg)</p></li><li><p>bra_seg_v1.pt:Bra detection model(yolov8n-seg)</p></li></ul><p></p>
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