Comments (1)
Hello. Can you share the images and sample notebooks that you can created so that I can repro the issue?
All of the the issues that you found related to samples that have no annotations (aka negative samples)? The splitting part was not tested for those scenarios so it is not a total surprise that it doesn't work. But please confirm so I know what to investigate.
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Related Issues (20)
- Crash when converting an image from COCO to YOLO that has no annotation in it HOT 1
- AttributeError: 'DataFrame' object has no attribute 'append' HOT 4
- is CreateML json format supported? HOT 5
- Error when i transform a COCO dataset to a YOLO dataset with segmentation = true and cat_id_index = 0 HOT 3
- It's possible to import YOLO segmentation dataset? HOT 2
- Annotation ids in '/content/test/img/coco128.json' are not unique! HOT 1
- StratifiedGroupShuffleSplit results in Empty DataFrame HOT 3
- yolo class label is unsorted HOT 1
- cat_id_index for yolov5 to coco format HOT 1
- how to edit yolo label with imported txt labels ? HOT 1
- UnboundLocalError: local variable 'categories' referenced before assignment HOT 2
- how to split YOLO datasets to train/val. Not train/val/test HOT 1
- Verbosity or progress bar HOT 5
- AssertionError: Output shape does not match input shape. Data loss has occured. HOT 4
- ShowClassSplits returning empty dataframe for YoloV5
- Class categories not correct after conversion from coco to yolo format. HOT 3
- Add tqdm to setup.py HOT 2
- Update Readme examples HOT 1
- Issue using both segmentation=True and cat_id_index=0 HOT 2
- YOLOv5 class index starts from 1 HOT 4
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