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": "2 0.15 0.45 0.015277777777777777 0.011111111111111112\n0 0.2388888888888889 0.4888888888888889 0.013888888888888888 0.0125\n1 0.23472222222222222 0.675 0.3402777777777778 0.5236111111111111\n0 0.5222222222222223 0.7263888888888889 0.016666666666666666 0.016666666666666666\n3 0.9291666666666667 0.7583333333333333 0.015277777777777777 0.0125\n1 0.7194444444444444 0.7902777777777777 0.5444444444444444 0.23333333333333334\n4 0.9638888888888889 0.7944444444444444 0.013888888888888888 0.013888888888888888\n2 0.4638888888888889 0.8083333333333333 0.013888888888888888 0.018055555555555554\n4 0.3875 0.8736111111111111 0.016666666666666666 0.013888888888888888\n3 0.31805555555555554 0.8847222222222222 0.016666666666666666 0.015277777777777777", "format": "txt", "source": "YoloDarknet" }, "converted": "{\"key\":\"01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.jpg\",\"boxes\":[{\"label\":\"heel\",\"x\":108,\"y\":324,\"width\":11,\"height\":8},{\"label\":\"ankle\",\"x\":172,\"y\":352,\"width\":10,\"height\":9},{\"label\":\"foot\",\"x\":169,\"y\":486,\"width\":245,\"height\":377},{\"label\":\"ankle\",\"x\":376,\"y\":523,\"width\":12,\"height\":12},{\"label\":\"pinky\",\"x\":669,\"y\":546,\"width\":11,\"height\":9},{\"label\":\"foot\",\"x\":518,\"y\":569,\"width\":392,\"height\":168},{\"label\":\"toe\",\"x\":694,\"y\":572,\"width\":10,\"height\":10},{\"label\":\"heel\",\"x\":334,\"y\":582,\"width\":10,\"height\":13},{\"label\":\"toe\",\"x\":279,\"y\":629,\"width\":12,\"height\":10},{\"label\":\"pinky\",\"x\":229,\"y\":637,\"width\":12,\"height\":11}],\"width\":720,\"height\":720}", "used": true, "key": [ "01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.jpg", "01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.jpeg", "01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.png", "01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.bmp" ] } }, "camera": null, "classes": [ "shoes" ], "created": { "_seconds": 1688486461, "_nanoseconds": 879000000 }, "datasets": [ "0ylI4LN9REOtoVjZO49L" ], "extension": "jpg", "hashes": [ "b4b4d893864b9176b5f4c8027a29c37b" ], "height": 720, "id": "KGYEgtOQus8GtA8wfUt9", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "01FVY08247BGEMVNK9RCJ920C5_jpeg.jpg", "owner": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "projects": [ "0ylI4LN9REOtoVjZO49L" ], "r": 0.011282908483075638, "split": "train", "split.0ylI4LN9REOtoVjZO49L": "train", "tags": [ "0ylI4LN9REOtoVjZO49L:status:approved" ], "updated": { "_seconds": 1688486461, "_nanoseconds": 879000000 }, "updatedDate": "Jul 4, 2023", "updatedTime": "4:01PM", "updatedTimezone": "+00:00", "uploader": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "user_tags": [], "width": 720 }
{ "boxes": [ { "label": "heel", "x": 108, "y": 324, "width": 11, "height": 8 }, { "label": "ankle", "x": 172, "y": 352, "width": 10, "height": 9 }, { "label": "foot", "x": 169, "y": 486, "width": 245, "height": 377 }, { "label": "ankle", "x": 376, "y": 523, "width": 12, "height": 12 }, { "label": "pinky", "x": 669, "y": 546, "width": 11, "height": 9 }, { "label": "foot", "x": 518, "y": 569, "width": 392, "height": 168 }, { "label": "toe", "x": 694, "y": 572, "width": 10, "height": 10 }, { "label": "heel", "x": 334, "y": 582, "width": 10, "height": 13 }, { "label": "toe", "x": 279, "y": 629, "width": 12, "height": 10 }, { "label": "pinky", "x": 229, "y": 637, "width": 12, "height": 11 } ], "height": 720, "key": "01FVY08247BGEMVNK9RCJ920C5_jpeg.rf.a116e6e98275eb2c04973ac063c2ab9b.jpg", "width": 720 }
Annotation Editor
Smart Polygon