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": "4 0.5388888888888889 0.3902777777777778 0.008333333333333333 0.008333333333333333\n3 0.4583333333333333 0.40555555555555556 0.005555555555555556 0.009722222222222222\n4 0.6263888888888889 0.4263888888888889 0.005555555555555556 0.009722222222222222\n3 0.7069444444444445 0.4722222222222222 0.008333333333333333 0.011111111111111112\n1 0.475 0.5722222222222222 0.15694444444444444 0.4041666666666667\n1 0.6291666666666667 0.6111111111111112 0.19027777777777777 0.41388888888888886\n0 0.5138888888888888 0.6625 0.006944444444444444 0.009722222222222222\n0 0.5694444444444444 0.7013888888888888 0.011111111111111112 0.009722222222222222\n2 0.49027777777777776 0.7611111111111111 0.008333333333333333 0.006944444444444444\n2 0.5666666666666667 0.7986111111111112 0.0125 0.011111111111111112", "format": "txt", "source": "YoloDarknet" }, "converted": "{\"key\":\"01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.jpg\",\"boxes\":[{\"label\":\"toe\",\"x\":388,\"y\":281,\"width\":6,\"height\":6},{\"label\":\"pinky\",\"x\":330,\"y\":292,\"width\":4,\"height\":7},{\"label\":\"toe\",\"x\":451,\"y\":307,\"width\":4,\"height\":7},{\"label\":\"pinky\",\"x\":509,\"y\":340,\"width\":6,\"height\":8},{\"label\":\"foot\",\"x\":342,\"y\":412,\"width\":113,\"height\":291},{\"label\":\"foot\",\"x\":453,\"y\":440,\"width\":137,\"height\":298},{\"label\":\"ankle\",\"x\":370,\"y\":477,\"width\":5,\"height\":7},{\"label\":\"ankle\",\"x\":410,\"y\":505,\"width\":8,\"height\":7},{\"label\":\"heel\",\"x\":353,\"y\":548,\"width\":6,\"height\":5},{\"label\":\"heel\",\"x\":408,\"y\":575,\"width\":9,\"height\":8}],\"width\":720,\"height\":720}", "used": true, "key": [ "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.jpg", "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.jpeg", "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.png", "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.bmp" ] } }, "camera": null, "classes": [ "shoes" ], "created": { "_seconds": 1688486461, "_nanoseconds": 879000000 }, "datasets": [ "0ylI4LN9REOtoVjZO49L" ], "extension": "jpg", "hashes": [ "3b5b4ccb5cbc3fc168a9d5b28275277a" ], "height": 720, "id": "B7MjAOOETwQbeBB8TNWC", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.jpg", "owner": "7M8di9fozlfC2j9Bh4z78m6sgjC3", "projects": [ "0ylI4LN9REOtoVjZO49L" ], "r": 0.0012536564981195152, "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": "toe", "x": 388, "y": 281, "width": 6, "height": 6 }, { "label": "pinky", "x": 330, "y": 292, "width": 4, "height": 7 }, { "label": "toe", "x": 451, "y": 307, "width": 4, "height": 7 }, { "label": "pinky", "x": 509, "y": 340, "width": 6, "height": 8 }, { "label": "foot", "x": 342, "y": 412, "width": 113, "height": 291 }, { "label": "foot", "x": 453, "y": 440, "width": 137, "height": 298 }, { "label": "ankle", "x": 370, "y": 477, "width": 5, "height": 7 }, { "label": "ankle", "x": 410, "y": 505, "width": 8, "height": 7 }, { "label": "heel", "x": 353, "y": 548, "width": 6, "height": 5 }, { "label": "heel", "x": 408, "y": 575, "width": 9, "height": 8 } ], "height": 720, "key": "01FTZM5T5VT18WMPQ5CHZTPPE7_jpeg.rf.a9048c84b67a1c1fc3cc5328cf276564.jpg", "width": 720 }
Annotation Editor
Smart Polygon