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military-vehicle-detection-juleg-ydqsd/1 (latest)
The training set is empty.
The validation set is empty.
The testing set is empty.
CLASSES
LAYERS
{ "accumulator": null, "annotation_jobs": [ "lfmRO3EIFeKo3mVYsfD1/X97FNqxT4u2DlukjCtGx" ], "annotations": { "military-vehicles": { "original": { "annotation": "7 0.35607758620689656 0.12715801886792452 0.43308189655172413 0.25430424528301887\n1 0.5730172413793103 0.34153301886792453 0.19706896551724137 0.15810141509433961\n1 0.6894396551724138 0.5434905660377358 0.24217672413793104 0.17277122641509432\n1 0.821551724137931 0.7716037735849057 0.24396551724137933 0.2217924528301887\n1 0.8703879310344828 0.18275943396226413 0.21034482758620687 0.12425707547169812", "format": "txt", "source": "YoloDarknet" }, "converted": "{\"key\":\"2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.jpg\",\"boxes\":[{\"label\":\"truck\",\"x\":165,\"y\":108,\"width\":201,\"height\":216},{\"label\":\"car\",\"x\":266,\"y\":289.5,\"width\":91,\"height\":134},{\"label\":\"car\",\"x\":320,\"y\":461,\"width\":112,\"height\":147},{\"label\":\"car\",\"x\":381,\"y\":654.5,\"width\":113,\"height\":188},{\"label\":\"car\",\"x\":404,\"y\":155,\"width\":98,\"height\":105}],\"width\":464,\"height\":848}", "used": true, "key": [ "2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.jpg", "2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.jpeg", "2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.png", "2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.bmp" ] } }, "camera": null, "classes": [ "military-vehicles" ], "clonedFrom": { "project": "E9UW5LGlxhOEsUaesr9d", "source": "fquOW7a2SWY7JSyexQvO" }, "created": { "_seconds": 1729438754, "_nanoseconds": 668000000 }, "datasets": [ "lfmRO3EIFeKo3mVYsfD1" ], "extension": "jpg", "hashes": [ "c79abf66f86204457767c2caae95a36d" ], "height": 848, "id": "0t8PwtKck30x6WKse06x", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "2022-09-21-677-img-to-roboflow.jpg", "owner": "4KwxzuWLWYS8Fnpj1f1uN3Dbc3G2", "projects": [ "lfmRO3EIFeKo3mVYsfD1" ], "r": 0.41734939759036144, "split": "train", "split.lfmRO3EIFeKo3mVYsfD1": "train", "tags": [ "lfmRO3EIFeKo3mVYsfD1:status:annotated" ], "updated": { "_seconds": 1729438754, "_nanoseconds": 668000000 }, "updatedDate": "Oct 20, 2024", "updatedTime": "3:39PM", "updatedTimezone": "+00:00", "uploader": "jsJ09AgaOjZRXn9YSWycSjQ5t6S2", "width": 464 }
{ "boxes": [ { "label": "truck", "x": 165, "y": 108, "width": 201, "height": 216 }, { "label": "car", "x": 266, "y": 289.5, "width": 91, "height": 134 }, { "label": "car", "x": 320, "y": 461, "width": 112, "height": 147 }, { "label": "car", "x": 381, "y": 654.5, "width": 113, "height": 188 }, { "label": "car", "x": 404, "y": 155, "width": 98, "height": 105 } ], "height": 848, "key": "2022-09-21-677-img-to-roboflow_jpg.rf.604d3395052ccb45260588699d4eff8b.jpg", "width": 464 }
Annotation Editor
Smart Polygon