# om-ai-lab/OmDet

Real-time and accurate open-vocabulary end-to-end object detection

Repository: https://github.com/om-ai-lab/OmDet
Canonical: https://ross.abutalabs.com/products/omdet
Language: Python
License: Apache-2.0
License Family: permissive
Topics: object-detection, open-vocabulary, vision-and-language, zero-shot-object-detection, computer-vision, zero-shot, coco, lvis, real-time
Last push: 2026-03-12T03:04:38+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 71, release rhythm 35, longevity 64
- inputs: {"age_days": 905, "days_push": 174, "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 1393, forks 118 (observed 2026-08-28T04:04:36.155935+00:00)

## What it is
OmDet-Turbo is a PyTorch implementation of a transformer-based open-vocabulary object detection model that detects arbitrary user-defined object categories in real time. It achieves state-of-the-art zero-shot detection performance with over 100 FPS inference on an A100 GPU and is integrated into Hugging Face Transformers.

## Use cases
- detect arbitrary objects in images without retraining
- run real-time open-vocabulary object detection on video streams
- perform zero-shot detection on custom object categories
- export detection model to ONNX for deployment
- evaluate open-vocabulary detection on COCO, LVIS, ODinW, and OVDEval

## When to choose
- you need fast real-time detection of object categories not in a fixed training vocabulary
- you want zero-shot detection with strong generalization to new domains
- you need a model already integrated with Hugging Face Transformers

## When to avoid
- you only need detection of a fixed set of classes where a classic detector like YOLO suffices
- you lack GPU hardware for inference
- you need segmentation or other vision tasks beyond bounding-box detection

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, machine-learning, artificial-intelligence
- platform: python
- tags: object-detection, open-vocabulary-detection, zero-shot-detection, vision-language, real-time-inference, pytorch, onnx-export, gpu

## Member repositories
- om-ai-lab/OmDet (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.155935+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 2026-08-30T04:39:29.832534+00:00, confidence not recorded.
  - readme: https://github.com/om-ai-lab/OmDet (fetched 2026-08-28T04:04:36.155935+00:00, sha f22f67a2c004)
- Data as of 2026-08-30T08:39:29.467469+00:00.