CharlesShang/FastMaskRCNN

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3082 stars · 1081 forks observed · 2026-08-28

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

A TensorFlow implementation of Mask R-CNN for instance segmentation, reproducing the paper by Kaiming He et al. It includes ROIAlign, a COCO data provider, ResNet50 backbone, and a Feature Pyramid Network, with training scripts for COCO.

Use cases

• train a Mask R-CNN model in TensorFlow
• instance segmentation on the COCO dataset
• reproduce the Mask R-CNN paper results
• object detection with a feature pyramid network
• learn how Mask R-CNN is implemented from scratch
• fine-tune a segmentation model on custom images

When to choose

• you need a readable TensorFlow 1.x codebase for studying or modifying Mask R-CNN internals
• you want a lightweight standalone implementation rather than a large model zoo
• you are working with the COCO dataset and ResNet50 backbones

When to avoid

• you need a maintained, production-ready segmentation model - the repo is unfinished and inactive
• you use TensorFlow 2.x or PyTorch - this targets TensorFlow 1.0+
• you need full COCO training/evaluation, which was never completed

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python mask-rcnn instance-segmentation object-detection tensorflow coco-dataset feature-pyramid-network roi-align linux gpu

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