ultralytics / JSON2YOLO

Convert JSON annotations into YOLO format.
https://docs.ultralytics.com
GNU Affero General Public License v3.0
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Converting fsco-dataset .json format into yolov8 acceptance format #67

Open shivakarnati opened 10 months ago

shivakarnati commented 10 months ago

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>

glenn-jocher commented 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! 🚀