TRY THIS MODEL
Drop image here to test
shoe-detection/4 (latest)
The training set is empty.
The validation set is empty.
The testing set is empty.
Classes
Layers
{ "accumulator": null, "annotation_jobs": [ "0ylI4LN9REOtoVjZO49L/gbX1dGO1uckz96CVI9Tf" ], "annotations": { "shoes": { "original": { "annotation": "0 0.575 0.5805555555555556 0.018055555555555554 0.019444444444444445\n0 0.14166666666666666 0.6375 0.015277777777777777 0.016666666666666666\n2 0.48055555555555557 0.6763888888888889 0.016666666666666666 0.016666666666666666\n1 0.7041666666666667 0.6777777777777778 0.48194444444444445 0.46805555555555556\n1 0.2791666666666667 0.7 0.36944444444444446 0.4638888888888889\n2 0.11527777777777778 0.7333333333333333 0.015277777777777777 0.015277777777777777\n3 0.8736111111111111 0.7763888888888889 0.013888888888888888 0.011111111111111112\n4 0.45 0.8402777777777778 0.013888888888888888 0.013888888888888888\n4 0.9041666666666667 0.8527777777777777 0.019444444444444445 0.015277777777777777\n3 0.28888888888888886 0.8597222222222223 0.018055555555555554 0.016666666666666666", "format": "txt", "source": "YoloDarknet" }, "converted": "{\"key\":\"01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.jpg\",\"boxes\":[{\"label\":\"ankle\",\"x\":414,\"y\":418,\"width\":13,\"height\":14},{\"label\":\"ankle\",\"x\":102,\"y\":459,\"width\":11,\"height\":12},{\"label\":\"heel\",\"x\":346,\"y\":487,\"width\":12,\"height\":12},{\"label\":\"foot\",\"x\":507,\"y\":488,\"width\":347,\"height\":337},{\"label\":\"foot\",\"x\":201,\"y\":504,\"width\":266,\"height\":334},{\"label\":\"heel\",\"x\":83,\"y\":528,\"width\":11,\"height\":11},{\"label\":\"pinky\",\"x\":629,\"y\":559,\"width\":10,\"height\":8},{\"label\":\"toe\",\"x\":324,\"y\":605,\"width\":10,\"height\":10},{\"label\":\"toe\",\"x\":651,\"y\":614,\"width\":14,\"height\":11},{\"label\":\"pinky\",\"x\":208,\"y\":619,\"width\":13,\"height\":12}],\"width\":720,\"height\":720}", "used": true, "key": [ "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.jpg", "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.jpeg", "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.png", "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.bmp" ] } }, "camera": null, "classes": [ "shoes" ], "created": { "_seconds": 1688486460, "_nanoseconds": 257000000 }, "datasets": [ "0ylI4LN9REOtoVjZO49L" ], "extension": "jpg", "hashes": [ "aa36aec80acbb58dac76ec1f0c953099" ], "height": 720, "id": "nmUGDBPMMqaTug6jxkds", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.jpg", "owner": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "projects": [ "0ylI4LN9REOtoVjZO49L" ], "r": 0.0162975344755537, "split": "train", "split.0ylI4LN9REOtoVjZO49L": "train", "tags": [ "0ylI4LN9REOtoVjZO49L:status:approved" ], "updated": { "_seconds": 1688486460, "_nanoseconds": 257000000 }, "updatedDate": "Jul 4, 2023", "updatedTime": "4:01PM", "updatedTimezone": "+00:00", "uploader": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "user_tags": [], "width": 720 }
{ "boxes": [ { "label": "ankle", "x": 414, "y": 418, "width": 13, "height": 14 }, { "label": "ankle", "x": 102, "y": 459, "width": 11, "height": 12 }, { "label": "heel", "x": 346, "y": 487, "width": 12, "height": 12 }, { "label": "foot", "x": 507, "y": 488, "width": 347, "height": 337 }, { "label": "foot", "x": 201, "y": 504, "width": 266, "height": 334 }, { "label": "heel", "x": 83, "y": 528, "width": 11, "height": 11 }, { "label": "pinky", "x": 629, "y": 559, "width": 10, "height": 8 }, { "label": "toe", "x": 324, "y": 605, "width": 10, "height": 10 }, { "label": "toe", "x": 651, "y": 614, "width": 14, "height": 11 }, { "label": "pinky", "x": 208, "y": 619, "width": 13, "height": 12 } ], "height": 720, "key": "01FWJDNK9MP3G4TM6H21TKJVHV_jpeg.rf.1d72d7ebc85f34fe9ebaeeadefc31026.jpg", "width": 720 }
Annotation Editor
Smart Polygon