Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

Understand

Semantic segmentation plays a vital role in computer vision tasks, enabling precise pixel-level understanding of images.

• In this paper, we present a comprehensive library for semantic segmentation, which contains implementations of popular segmentation models like SegNet, FCN, UNet, and PSPNet.
• We also evaluate and compare these models on several datasets, offering researchers and practitioners a powerful toolset for tackling diverse segmentation challenges.