Visualization Utilities For Model Predictions And Dataset Exploration

Meta's modular object detection platform on PyTorch.

Unique: Provides a unified Visualizer class that handles all annotation types (boxes, masks, keypoints) with configurable rendering (colors, transparency, confidence thresholds), enabling quick visual debugging without custom visualization code — unlike manual matplotlib-based visualization

vs others: More convenient than matplotlib because it handles all annotation types automatically; more flexible than static evaluation metrics because visualization enables qualitative error analysis and model comparison