# ADE20k scene parsing

This SegFormer model was fine-tuned on the ADE20k dataset at 512x512 resolution, featuring a hierarchical Transformer encoder and lightweight all-MLP decoder head architecture.

BEiT is an image segmentation model based on Vision Transformer architecture, achieving efficient semantic segmentation through self-supervised pre-training and fine-tuning on the ADE20k dataset.

SegFormer is a Transformer-based semantic segmentation model fine-tuned on the ADE20K dataset, suitable for image segmentation tasks.