Duankaiwen/CenterNet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1884 stars · 371 forks observed · 2026-08-28

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

Official PyTorch implementation of CenterNet, a one-stage keypoint-triplet-based object detector built on CornerNet. It trains from scratch and achieves 47.0% AP on MS-COCO, surpassing prior one-stage detectors.

Use cases

• train an object detection model on MS-COCO
• evaluate a keypoint-based one-stage detector
• reproduce CenterNet paper results
• compare one-stage vs two-stage detector performance
• build object detection research on keypoint triplets
• use cascade corner pooling and center pooling modules

When to choose

• you need a strong one-stage object detector for research or benchmarking
• you want to reproduce or extend the CenterNet paper
• you study keypoint-based detection methods like CornerNet

When to avoid

• you need a production-ready, actively maintained detection framework
• you want plug-and-play pretrained detectors with modern tooling
• you need the latest state-of-the-art architectures

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision computer-vision deep-learning machine-learning python object-detection keypoint-detection one-stage-detector pytorch research-code ms-coco linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Duankaiwen/CenterNet")