Annotation Format Converter

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

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

bash

# 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

text

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

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

YOLO to COCO

text

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

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

Installation

bash

pip install pillow tqdm

Requirements

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