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- metric: COCO
- num_classes: 80
- # partial labeled COCO, use `SemiCOCODataSet` rather than `COCODataSet`
- TrainDataset:
- !SemiCOCODataSet
- image_dir: train2017
- anno_path: semi_annotations/instances_train2017.1@1.json
- dataset_dir: dataset/coco
- data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
- # partial unlabeled COCO, use `SemiCOCODataSet` rather than `COCODataSet`
- UnsupTrainDataset:
- !SemiCOCODataSet
- image_dir: train2017
- anno_path: semi_annotations/instances_train2017.1@1-unlabeled.json
- dataset_dir: dataset/coco
- data_fields: ['image']
- supervised: False
- EvalDataset:
- !COCODataSet
- image_dir: val2017
- anno_path: annotations/instances_val2017.json
- dataset_dir: dataset/coco
- allow_empty: true
- TestDataset:
- !ImageFolder
- anno_path: annotations/instances_val2017.json # also support txt (like VOC's label_list.txt)
- dataset_dir: dataset/coco # if set, anno_path will be 'dataset_dir/anno_path'
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