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Description
I would like to train yolov8 on fsoco-dataset, and for this I need to convert .json files into yolov8 acceptance format, which is
{ "description": "", "tags": [ { "id": 118615272, "tagId": 30143178, "name": "train", "value": null, "labelerLogin": "fsocov2", "createdAt": "2020-08-11T08:43:40.624Z", "updatedAt": "2020-08-11T08:43:40.624Z" } ], "size": { "height": 920, "width": 2872 }, "objects": [ { "id": 889978312, "classId": 9993511, "description": "", "geometryType": "rectangle", "labelerLogin": "fsocov2", "createdAt": "2020-08-11T08:17:13.366Z", "updatedAt": "2020-08-11T08:17:13.366Z", "tags": [], "classTitle": "blue_cone", "points": { "exterior": [ [ 2377, 198 ], [ 2398, 224 ] ], "interior": [] } }, { "id": 889978311, "classId": 9993511, "description": "", "geometryType": "rectangle", "labelerLogin": "fsocov2", "createdAt": "2020-08-11T08:17:13.366Z", "updatedAt": "2020-08-11T08:17:13.366Z", "tags": [], "classTitle": "blue_cone", "points": { "exterior": [ [ 2419, 189 ], [ 2436, 210 ] ], "interior": [] } }, { "id": 889978310, "classId": 9993511, "description": "", "geometryType": "rectangle", "labelerLogin": "fsocov2", "createdAt": "2020-08-11T08:17:13.366Z", "updatedAt": "2020-08-11T08:17:13.366Z", "tags": [], "classTitle": "blue_cone", "points": { "exterior": [ [ 2316, 212 ], [ 2345, 246 ] ], "interior": [] } },
into <class_id> <x_center> <y_center> <width> <height> but I don't know which value can I take as "x_center" and "y_center". Can somebody help me out?