Annotation Visualizer
Visualize bounding boxes and labels on images. Supports COCO, YOLO, VOC, and LabelMe formats. Use when user wants to visualize annotations on images for quality checking or debugging.
Features
- Multi-format Support: COCO, YOLO, VOC, LabelMe
- Customizable Colors: Per-class colors or auto-generated
- Label Display: Show class names and confidence
- Box Styles: Filled or outline boxes
- Batch Processing: Visualize entire dataset
Usage
# Visualize YOLO annotations
python scripts/visualize.py yolo images/ labels/ output/
# Visualize COCO annotations
python scripts/visualize.py coco annotations.json images/ output/
# Custom colors and styles
python scripts/visualize.py yolo images/ labels/ output/ \
--colors red,green,blue \
--thickness 2 \
--fillExamples
$ python scripts/visualize.py yolo ./images ./labels ./output
Processing 100 images...
✓ Saved visualization for image1.jpg -> output/image1.jpg
✓ Saved visualization for image2.jpg -> output/image2.jpg
...Supported Formats
| Format | Input | Description |
|---|---|---|
| YOLO | .txt | YOLO darknet format |
| COCO | .json | COCO JSON annotation |
| VOC | .xml | Pascal VOC XML |
| LabelMe | .json | LabelMe JSON |
Installation
pip install pillowOptions
--colors: Comma-separated colors for each class--thickness: Box line thickness (default: 2)--fill: Fill boxes with semi-transparent color--show-label: Show class labels on boxes--font-size: Label font size (default: 16)