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Annotation Format Converter

Convert annotation files between COCO, YOLO, VOC, and LabelMe formats with auto-detection and support for batch processing of folders.

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Install

openclaw skills install annotation-format-converter

Annotation Format Converter

Convert annotation formats between COCO, YOLO, VOC, and LabelMe. Use when user needs to convert annotation files between different formats for computer vision tasks.

Features

  • COCO → YOLO: Convert COCO JSON to YOLO txt format
  • YOLO → COCO: Convert YOLO txt to COCO JSON
  • VOC → COCO: Convert Pascal VOC XML to COCO JSON
  • LabelMe → COCO: Convert LabelMe JSON to COCO JSON
  • Auto-detect: Automatically detect input format
  • Batch Convert: Convert entire folders

Usage

# Convert COCO JSON to YOLO
python scripts/converter.py coco2yolo input.json output_dir/

# Convert YOLO txt to COCO
python scripts/converter.py yolo2coco input_dir/ output.json

# Convert VOC XML to COCO
python scripts/converter.py voc2coco input_dir/ output.json

# Auto-detect and convert
python scripts/converter.py convert input.json output.json --from coco --to yolo

# List supported formats
python scripts/converter.py formats

Supported Formats

FormatExtensionDescription
COCO.jsonCOCO JSON annotation
YOLO.txtYOLO darknet format
VOC.xmlPascal VOC XML
LabelMe.jsonLabelMe JSON

Examples

COCO to YOLO

$ python scripts/converter.py coco2yolo annotations.json yolo_labels/

Converting COCO to YOLO...
✓ Converted 150 annotations to yolo_labels/

YOLO to COCO

$ python scripts/converter.py yolo2coco labels/ output.json --image-dir images/

Converting YOLO to COCO...
✓ Converted 150 annotations to output.json

Installation

pip install pillow tqdm

Requirements

  • Python 3.8+
  • Pillow (for image dimensions)
  • tqdm (for progress bar)