# Dense prediction

The DPT (Dense Prediction Transformer) model is trained on 1.4 million images for monocular depth estimation. This model uses Swinv2 as the backbone network and is suitable for high-precision depth prediction tasks.

DPT model using DINOv2 as backbone for depth estimation tasks.

A monocular depth estimation model based on Vision Transformer (ViT), trained on 1.4 million images

This is a Dense Prediction Transformer (DPT) model fine-tuned on the ADE20k dataset for semantic segmentation tasks.