Annotation Visualizer

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.

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

bash

# 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

Examples

text

$ 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

bash

pip install pillow

Options

• --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)