As there are many forms of COCO labels, for object detection and semantic segmentation the annotations are different. What are the exact form of the labels if I use my own dataset to train? Mine is like below:
{
"id": 645,
"image_id": 40,
"category_id": 2,
"segmentation": [
[
5289,
663,
5295,
663,
5295,
681,
5289,
681
]
],
"area": 108,
"bbox": [
5289,
663,
6,
18
],
"iscrowd": 0
},
As there are many forms of COCO labels, for object detection and semantic segmentation the annotations are different. What are the exact form of the labels if I use my own dataset to train? Mine is like below: { "id": 645, "image_id": 40, "category_id": 2, "segmentation": [ [ 5289, 663, 5295, 663, 5295, 681, 5289, 681 ] ], "area": 108, "bbox": [ 5289, 663, 6, 18 ], "iscrowd": 0 },