segmentation_models.pytorch open source analysis

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Project overview

⭐ 11111 · Python · Last activity on GitHub: 2025-11-26

GitHub: https://github.com/qubvel-org/segmentation_models.pytorch

Why it matters for engineering teams

Segmentation_models.pytorch addresses the practical challenge of implementing reliable semantic segmentation in computer vision projects, providing software engineers with access to over 500 pretrained convolutional and transformer-based backbones. This open source tool for engineering teams is particularly well suited to machine learning and AI engineering roles focused on image processing tasks where accuracy and efficiency are critical. Its maturity and extensive pretrained weights make it a production ready solution for real-world applications such as autonomous driving, medical imaging, and satellite image analysis. However, it may not be the best choice for teams requiring lightweight models for edge devices or those looking for solutions beyond PyTorch frameworks, as it is tightly coupled with PyTorch and primarily targets high-performance segmentation tasks.

When to use this project

This project is a strong choice when your team needs a robust, pretrained semantic segmentation model that can be integrated into production pipelines with minimal customisation. Teams should consider alternatives if their focus is on lightweight models for mobile or embedded systems, or if they require frameworks outside of PyTorch.

Team fit and typical use cases

Machine learning engineers and AI specialists benefit most from segmentation_models.pytorch, typically using it to accelerate development of segmentation components within larger vision systems. It is commonly found in products involving automated image analysis, such as quality inspection or medical diagnostics, where a self hosted option for semantic segmentation is essential for data privacy and customisation.

Best suited for

Topics and ecosystem

computer-vision deeplab-v3-plus deeplabv3 dpt fpn image-processing image-segmentation imagenet models pretrained-weights pspnet pytorch segformer segmentation segmentation-models semantic-segmentation transformers unet unet-pytorch unetplusplus

Activity and freshness

Latest commit on GitHub: 2025-11-26. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.