Visualize bounding boxes and class labels on images with support for COCO, YOLO, VOC, and LabelMe annotation formats.
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.
# 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 \
--fill
$ 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
...
| Format | Input | Description |
|---|---|---|
| YOLO | .txt | YOLO darknet format |
| COCO | .json | COCO JSON annotation |
| VOC | .xml | Pascal VOC XML |
| LabelMe | .json | LabelMe JSON |
pip install pillow
--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)ZIP package — ready to use