Segmentation Benchmarking open-source software
A PyTorch research codebase for comparing two-stage semantic segmentation approaches under a shared protocol.
OpenGitHub repository
The repository contains model training, k-fold evaluation, inference, camera and ONNX export tools. It distributes no dataset: third-party inputs must be obtained from their original sources, and the restricted-access Amatis package is governed separately.
- Scope
- Nine architectures, twelve encoders and thirty-seven experiment configurations
- Licence
- MIT licence for source code only
- Data
- No dataset is distributed by the repository
What the public repository includes
The public repository provides source code, configuration examples and reproducibility documentation. It does not distribute wound-image datasets.