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 0.6819444444444445 0.3194444444444444 0.018055555555555554 0.016666666666666666\n1 0.375 0.37083333333333335 0.28194444444444444 0.6027777777777777\n2 0.6777777777777778 0.43194444444444446 0.016666666666666666 0.015277777777777777\n3 0.25972222222222224 0.5222222222222223 0.016666666666666666 0.016666666666666666\n1 0.6152777777777778 0.5763888888888888 0.2625 0.6430555555555556\n4 0.4236111111111111 0.6194444444444445 0.016666666666666666 0.016666666666666666\n3 0.7222222222222222 0.75 0.016666666666666666 0.022222222222222223\n4 0.5402777777777777 0.8291666666666667 0.015277777777777777 0.018055555555555554\n0 0.4625 0.09166666666666666 0.013888888888888888 0.018055555555555554\n2 0.47638888888888886 0.18472222222222223 0.018055555555555554 0.016666666666666666", "format": "txt", "source": "YoloDarknet" }, "converted": "{\"key\":\"01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.jpg\",\"boxes\":[{\"label\":\"ankle\",\"x\":491,\"y\":230,\"width\":13,\"height\":12},{\"label\":\"foot\",\"x\":270,\"y\":267,\"width\":203,\"height\":434},{\"label\":\"heel\",\"x\":488,\"y\":311,\"width\":12,\"height\":11},{\"label\":\"pinky\",\"x\":187,\"y\":376,\"width\":12,\"height\":12},{\"label\":\"foot\",\"x\":443,\"y\":415,\"width\":189,\"height\":463},{\"label\":\"toe\",\"x\":305,\"y\":446,\"width\":12,\"height\":12},{\"label\":\"pinky\",\"x\":520,\"y\":540,\"width\":12,\"height\":16},{\"label\":\"toe\",\"x\":389,\"y\":597,\"width\":11,\"height\":13},{\"label\":\"ankle\",\"x\":333,\"y\":66,\"width\":10,\"height\":13},{\"label\":\"heel\",\"x\":343,\"y\":133,\"width\":13,\"height\":12}],\"width\":720,\"height\":720}", "used": true, "key": [ "01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.jpg", "01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.jpeg", "01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.png", "01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.bmp" ] } }, "camera": null, "classes": [ "shoes" ], "created": { "_seconds": 1688486460, "_nanoseconds": 257000000 }, "datasets": [ "0ylI4LN9REOtoVjZO49L" ], "extension": "jpg", "hashes": [ "c04c431b63b05d5ce8e1c5f889335cd5" ], "height": 720, "id": "LrkWFikN2V2rKnTpITtb", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "01FWT783KSZS5GX8ZDB0WCST47_jpeg.jpg", "owner": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "projects": [ "0ylI4LN9REOtoVjZO49L" ], "r": 0.017969076473046384, "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": 491, "y": 230, "width": 13, "height": 12 }, { "label": "foot", "x": 270, "y": 267, "width": 203, "height": 434 }, { "label": "heel", "x": 488, "y": 311, "width": 12, "height": 11 }, { "label": "pinky", "x": 187, "y": 376, "width": 12, "height": 12 }, { "label": "foot", "x": 443, "y": 415, "width": 189, "height": 463 }, { "label": "toe", "x": 305, "y": 446, "width": 12, "height": 12 }, { "label": "pinky", "x": 520, "y": 540, "width": 12, "height": 16 }, { "label": "toe", "x": 389, "y": 597, "width": 11, "height": 13 }, { "label": "ankle", "x": 333, "y": 66, "width": 10, "height": 13 }, { "label": "heel", "x": 343, "y": 133, "width": 13, "height": 12 } ], "height": 720, "key": "01FWT783KSZS5GX8ZDB0WCST47_jpeg.rf.f6cc3ba7472cd4e9cd8967f37d74b2cd.jpg", "width": 720 }
Annotation Editor
Smart Polygon