ayoolaolafenwa/PixelLib

Health v2 · maintenance only

Adoption not part of the score

1072 stars · 268 forks observed · 2026-08-28

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

PixelLib is a Python library for performing semantic and instance segmentation of objects in images and videos with just a few lines of code. It supports both PyTorch (PointRend) and TensorFlow (Mask R-CNN, DeepLab) backends, custom model training, and background editing of images and videos.

Use cases

• segment objects in images with a few lines of code
• perform instance segmentation on videos
• remove or blur video backgrounds
• train a custom image segmentation model
• run semantic segmentation with DeepLab
• do real-time instance segmentation with PointRend

When to choose

• you need quick image or video segmentation without writing deep learning code
• you want both semantic and instance segmentation from one library
• you need cross-platform segmentation that works on Windows and Linux
• you want to train a custom segmentation model with minimal code

When to avoid

• you need cutting-edge segmentation architectures beyond PointRend or Mask R-CNN
• you require active development or frequent updates
• you need GPU-optimized production inference at large scale
• you work outside Python or need non-TensorFlow/PyTorch backends

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning deep-learning python windows cross-platform image-segmentation semantic-segmentation instance-segmentation video-segmentation mask-r-cnn pointrend tensorflow pytorch object-detection background-removal video linux

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