Datasets:

ComputeHeavy
/

billboards-signs-and-branding

@@ -1,451 +0,0 @@
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ATTRIBUTION.txt DELETED Viewed

@@ -1,10 +0,0 @@
-This is release 2022-08-07T10:22:40Z of the dataset billboards-signs-and-branding created
-on MekaBytes.com. A full list of contributors can be found below.
-This particular download exists thanks to user TACIXAT.
-It was generated on 2022-08-11 at 02:02:08.
-=== CONTRIBUTORS ===
-douglas
-coffee
-Nixums
-TACIXAT

IMAGE_LICENSE.txt DELETED Viewed

@@ -1,5 +0,0 @@
-Compute Heavy Industries Incorporated distributes these images under fair use. You may use the images in this dataset in any way that constitutes fair use.
-Your use of the images is at your own risk. COMPUTE HEAVY INDUSTRIES INCORPORATED MAKES NO WARRANTY OF NON-INFRINGEMENT, and you will indemnify and hold Compute Heavy Industries Incorporated, MekaBytes.com, its owners, and employees harmless from any copyright infringement claims that arise out of your use of the images.
-Takedown requests may be filed on MekaBytes.com.

images/AntiquewhitePinkAfricanhornbill.jpg → MekaBytes--billboards-signs-and-branding/train/0000.parquet RENAMED Viewed

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-size 2722246

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+size 153321638

README.md DELETED Viewed

@@ -1,35 +0,0 @@
----
-license: cc-by-nc-sa-4.0
----
-**The original dataset is accepting contributions and annotation at https://mekabytes.com/dataset/info/billboards-signs-and-branding :)**
-The goal of this dataset is to be able to recognize billboards and popular corporate logos so they can be hidden in photos, and in the future so that they can be hidden using augmented reality.
-We are settling on a maximalist approach where we would like to block all signage. This includes bus stop ads, store signs, those banners they have on street lights, etc.
-### Categories
-🚧 **Billboard** - includes advertisements on bus benches and shelters, and the posters on building construction (think with scaffolding).
-🏪 **Signage** - store names, signs on buildings, lists of businesses at a strip mall, also includes any small standalone advertisements like those campaign signs in people's yards or papers on telephone poles.
-📦 **Branding** - logos and names on products, like a coffee cup or scooter, includes car badges.
-### Seeking Photos on https://mekabytes.com
- Right now the images have been mostly collected in Los Angeles, CA. We would love some geographical variety!
-If you have any questions about labeling, don't hesitate to leave a comment and check the checkbox to notify the mods.
-We are light on branding photos, so pictures of products with logos and brands on them are greatly appreciated!
-### Version Info
-```
-Version: 2022-08-11T18:53:22Z
-Type: bounding box
-Images: 103
-Annotations: 1351
-Size (bytes): 315483844
-```

annotations/AntiquewhitePinkAfricanhornbill.csv DELETED Viewed

@@ -1,10 +0,0 @@
-x1,y1,x2,y2,label
-0.373033,0.534286,0.413900,0.563436,signage
-0.421045,0.533857,0.459626,0.562579,signage
-0.223281,0.599445,0.299014,0.617450,billboard
-0.333041,0.436610,0.492510,0.472432,signage
-0.000000,0.521571,0.020228,0.538459,signage
-0.172585,0.605835,0.185607,0.609838,branding
-0.034896,0.621668,0.001040,0.613363,branding
-0.184967,0.603914,0.199910,0.607116,branding
-0.201242,0.608496,0.208382,0.611669,branding

annotations/BlaringTallQuetzalcoatlus.csv DELETED Viewed

@@ -1,3 +0,0 @@
-x1,y1,x2,y2,label
-0.171250,0.292667,0.374250,0.408000,billboard
-0.605179,0.444048,0.684107,0.479524,billboard

annotations/BulkyWildIndochinahogdeer.csv DELETED Viewed

@@ -1,27 +0,0 @@
-x1,y1,x2,y2,label
-0.168249,0.425154,0.267916,0.568296,billboard
-0.318605,0.524632,0.361889,0.555387,signage
-0.000000,0.537489,0.017173,0.564436,signage
-0.039875,0.447050,0.088325,0.466983,signage
-0.552029,0.514344,0.574703,0.546902,signage
-0.604604,0.489427,0.627527,0.528629,signage
-0.580933,0.544909,0.596132,0.530623,signage
-0.562673,0.582154,0.571712,0.593434,signage
-0.563484,0.592507,0.570669,0.602242,signage
-0.450468,0.620810,0.454588,0.624708,branding
-0.578391,0.483297,0.606826,0.533717,billboard
-0.759259,0.484861,0.816421,0.526682,billboard
-0.792383,0.448902,0.823163,0.489160,billboard
-0.732436,0.550260,0.746141,0.562054,signage
-0.726456,0.560725,0.750875,0.568367,signage
-0.765576,0.544779,0.770559,0.552088,signage
-0.806392,0.528128,0.830597,0.558820,billboard
-0.841167,0.528338,0.859308,0.540283,signage
-0.840943,0.539238,0.860540,0.551034,signage
-0.842174,0.561486,0.849118,0.571490,signage
-0.861117,0.544569,0.889077,0.557740,billboard
-0.981927,0.609803,1.000000,0.652649,signage
-0.921485,0.589557,0.928885,0.603853,signage
-0.918314,0.597611,0.924808,0.603652,signage
-0.918012,0.571436,0.923449,0.577074,signage
-0.916502,0.579691,0.927828,0.591168,signage

annotations/CandidRustySeaurchin.csv DELETED Viewed

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-x1,y1,x2,y2,label
-0.031838,0.159653,0.218439,0.294758,signage
-0.852069,0.402682,0.963697,0.454775,signage
-0.620373,0.417814,0.673529,0.466224,billboard
-0.559048,0.509303,0.550439,0.521327,signage
-0.568749,0.506023,0.574761,0.521327,signage
-0.597990,0.501469,0.584599,0.517501,signage
-0.607691,0.499465,0.603182,0.515315,signage
-0.609468,0.490902,0.617666,0.520780,signage
-0.653816,0.497577,0.663175,0.510963,signage
-0.631185,0.509828,0.685806,0.519130,signage
-0.562635,0.522386,0.570127,0.526807,signage
-0.556003,0.523696,0.562389,0.528772,signage
-0.571248,0.553664,0.575815,0.557337,branding
-0.830805,0.507681,0.848305,0.524291,signage
-0.787975,0.525700,0.807470,0.561219,billboard
-0.788464,0.467841,0.777617,0.507252,signage
-0.764422,0.515732,0.776582,0.524247,signage
-0.772582,0.533709,0.777311,0.539015,signage
-0.692465,0.504113,0.723338,0.521104,signage
-0.729249,0.523906,0.744226,0.535993,signage
-0.369918,0.535548,0.383987,0.559044,billboard

annotations/CarelessTheseMule.csv DELETED Viewed

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-x1,y1,x2,y2,label
-0.396151,0.373296,0.520099,0.406405,branding
-0.419922,0.358014,0.501988,0.381361,branding
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