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@@ -21,3 +21,6 @@ This model is designed to classify images as either "safe" or "unsafe." It helps
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  Base Model: This model is fine-tuned from the pre-trained CLIP ViT-B/32 model by OpenAI, a model known for its zero-shot image classification abilities.
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  Dataset: The model was trained on a custom dataset containing labeled images of safe and unsafe scenarios. The dataset includes various examples of unsafe situations (e.g., fire, sharp objects, precarious activities) to help the model learn these contextual cues.
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  Base Model: This model is fine-tuned from the pre-trained CLIP ViT-B/32 model by OpenAI, a model known for its zero-shot image classification abilities.
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  Dataset: The model was trained on a custom dataset containing labeled images of safe and unsafe scenarios. The dataset includes various examples of unsafe situations (e.g., fire, sharp objects, precarious activities) to help the model learn these contextual cues.
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+ ## Sample model predictions
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/672d17c98e098bf429c83670/gSUv_DTF56QMbybgIapQB.jpeg" alt="image/jpeg" width="100" height="100" /> | Output:-