# fundamentalvision/Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Repository: https://github.com/fundamentalvision/Deformable-DETR
Canonical: https://ross.abutalabs.com/products/deformable-detr
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-05-16T03:54:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2102, "days_push": 839, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4015, forks 632 (observed 2026-08-28T04:08:32.395645+00:00)

## What it is
Official PyTorch implementation of Deformable DETR, an efficient end-to-end object detector that uses deformable attention to fix DETR's slow convergence and limited feature resolution. It includes training and evaluation code with COCO benchmark results and pretrained models.

## Use cases
- train a fast-converging end-to-end object detector
- detect small objects better than vanilla DETR
- reproduce Deformable DETR results on COCO
- use deformable attention in my own detection model
- compare detector performance against Faster R-CNN and DETR baselines

## When to choose
- you need an end-to-end transformer-based object detector with 10x fewer training epochs than DETR
- your dataset has many small objects where DETR underperforms
- you want a research reference implementation of deformable attention

## When to avoid
- you need a production-ready, actively maintained detection framework
- you want plug-and-play pretrained detectors for many architectures
- you lack GPU resources for training detection models

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, artificial-intelligence
- platform: python
- tags: object-detection, transformer, detr, attention-mechanism, coco, research-code, pytorch, linux, gpu

## Member repositories
- fundamentalvision/Deformable-DETR (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.395645+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:59.161358+00:00, confidence not recorded.
  - readme: https://github.com/fundamentalvision/Deformable-DETR (fetched 2026-08-28T04:08:32.395645+00:00, sha 1e847f26eed2)
- Data as of 2026-08-30T08:39:29.467469+00:00.