Open shivakarnati opened 10 months ago
@shivakarnati you can convert the provided JSON annotations into YOLOv5 acceptance format using scripts or tools to parse and transform the data. This often involves mapping class titles to class IDs and converting bounding box coordinates. Check out the Ultralytics Docs for more details on data formatting. Good luck! 🚀
Hi All!
I would like to convert below .json annotated file into yolov8 acceptance format, can somebody help me out ?
{ "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": [] } },
And I need in
<class_id> <x_center> <y_center> <width> <height>