IDEA-Research/detrex

Health v2 · maintenance only

Adoption not part of the score

2306 stars · 248 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

detrex is an open-source PyTorch-based research platform and toolbox for DETR-style Transformer detection algorithms, built on top of Detectron2. It provides modular implementations of state-of-the-art models like DINO, Deformable-DETR, and Mask DINO for object detection, segmentation, and pose estimation.

Use cases

• train a DETR-based object detection model
• benchmark detection transformer algorithms
• run instance segmentation with Mask DINO
• reproduce DINO or Deformable-DETR results
• build custom transformer detection architectures
• do pose estimation with transformer models

When to choose

• you need state-of-the-art DETR-family detection models with pretrained weights
• you want a modular Detectron2-based platform for detection research
• you're benchmarking transformer-based detection, segmentation, or pose estimation methods

When to avoid

• you need production-ready detection rather than a research codebase
• you prefer lightweight CNN detectors like YOLO or Faster R-CNN
• you don't work with PyTorch or GPUs

Facets

library · maturity active

machine-learning computer-vision image-processing computer-vision deep-learning machine-learning python detr object-detection transformer pytorch segmentation pose-estimation detectron2 model-zoo research-toolbox gpu linux

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markdown · JSON · MCP: product_card(name="IDEA-Research/detrex")