# Multi-class semantic segmentation

An image segmentation model based on the SegFormer architecture, pre-trained on the ADE20K dataset and further fine-tuned, excelling in 512x512 resolution image segmentation tasks

An image segmentation model fine-tuned based on nvidia/mit-b0, demonstrating outstanding performance on the evaluation set with a mean IoU of 0.9210 and mean accuracy of 0.9571.

An image segmentation model based on the SegFormer-B5 architecture, fine-tuned on larger-sized image datasets, excels at distinguishing between background and branch regions

A building facade semantic segmentation model based on SegFormer architecture, capable of recognizing 12 types of architectural elements

DeepLabV3+ architecture implemented in Keras for pixel-level multi-class semantic segmentation tasks