This library provides a high-level API for creating semantic segmentation models in PyTorch. It includes 12 model architectures such as Unet, Unet++, Segformer, DPT, FPN, and PSPNet, paired with over 800 pretrained convolution- and transformer-based encoders from timm. The library also bundles common training utilities including metrics and loss functions for segmentation tasks.