Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
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Updated
Jun 10, 2024 - Python
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
A CLI tool can create a specific task-dataset you want based on COCO dataset. Given the annotation JSON file, this tool will help you download the data and set the symbolic links from data_dir to task_dir !!
Convert LabelMe Annotation Tool JSON format to YOLO text file format
My own version to annotate dataset for YOLO format (Including multi-class labeling on the same image)
This developed algorithm transforms mask labels used in previous segmentation tasks into a format compatible with YOLO's label requirements. As a result, pre-prepared datasets can be used with YOLO-like detection-focused architectures.
Augmentation yolo format txt and images
Dataset prep tool for object detection tasks
COCO dataset to Yolo format annotations and images downloader, also Negatives categories can be downloaded too.
Create a YOLO-format subset of the COCO dataset
Some useful and common scripts for future use
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