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

| Format | Extension | Description | |--------|-----------|-------------| | COCO | .json | COCO JSON annotation | | YOLO | .txt | YOLO darknet format | | VOC | .xml | Pascal VOC XML | | LabelMe | .json | LabelMe 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)