Update README.md

README.md

@@ -6,6 +6,23 @@ license: apache-2.0
 
 See [the Files tab](https://huggingface.co/coreml-projects/depth-anything/tree/main) for converted models.
 
+Depth Anything model was introduced in the paper [Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data](https://arxiv.org/abs/2401.10891) by Lihe Yang et al. and first released in [this repository](https://github.com/LiheYoung/Depth-Anything).
+
+[Online demo](https://huggingface.co/spaces/LiheYoung/Depth-Anything) is also provided.
+
+Disclaimer: The team releasing Depth Anything did not write a model card for this model so this model card has been written by the Hugging Face team.
+
+## Model description
+
+Depth Anything leverages the [DPT](https://huggingface.co/docs/transformers/model_doc/dpt) architecture with a [DINOv2](https://huggingface.co/docs/transformers/model_doc/dinov2) backbone.
+
+The model is trained on ~62 million images, obtaining state-of-the-art results for both relative and absolute depth estimation.
+
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/depth_anything_overview.jpg"
+alt="drawing" width="600"/>
+
+<small> Depth Anything overview. Taken from the <a href="https://arxiv.org/abs/2401.10891">original paper</a>.</small>
+
 ## Download
 
 Install `huggingface-hub`