depth estimation models

2 models · ranked by HuggingFace downloads

Depth-Anything-V2-Small-hf

by depth-anything

Depth Anything V2 Small is a lightweight monocular depth estimation model trained on synthetic photorealistic data with fine-grained depth labels. V2 improves over V1 by using synthetic training data to reduce depth estimation errors in fine-grained regions.

1,688,778 ↓ · 46 ♡

dpt-hybrid-midas

by Intel

DPT-Hybrid-MiDaS combines a Dense Prediction Transformer with a MiDaS backbone for monocular depth estimation, producing relative depth maps from single RGB images. Intel developed it as part of the DPT model family. Apache-2.0 licensed and available via standard Transformers depth-estimation pipeline.

698,213 ↓ · 110 ♡