princeton-vl/CornerNet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2369 stars · 464 forks observed · 2026-08-28

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

Official research code for CornerNet, an object detection model that detects objects as paired keypoints, reproducing results from the ECCV 2018 paper. It includes training and evaluation scripts, model definitions, and setup for the MS COCO dataset.

Use cases

• reproduce CornerNet object detection results on MS COCO
• train a keypoint-based object detector on custom data
• study anchor-free object detection implementations
• benchmark object detection models against CornerNet
• learn how corner pooling layers are implemented

When to choose

• you need the reference implementation of the CornerNet paper
• you want to experiment with keypoint-based anchor-free detection
• you need a trained CornerNet model for COCO evaluation

When to avoid

• you need efficient real-time detection - use CornerNet-Lite instead
• you want a production-ready or actively maintained detection framework
• you lack a CUDA-capable GPU

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python object-detection keypoint-detection coco pytorch research-code paper-reproduction linux gpu

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