Improve model card with pipeline tag, license, and project page link

This PR adds the `pipeline_tag: depth-estimation` to the model card metadata, making the model discoverable through the Hugging Face pipeline interface for depth estimation tasks. It also adds the license information (`cc-by-nc-4.0`) from the Github README. The existing project page link is retained.

README.md

@@ -4,9 +4,67 @@ tags:
 - monocular-metric-depth-estimation
 - pytorch_model_hub_mixin
 - model_hub_mixin
+- depth-estimation
 repo_url: https://github.com/lpiccinelli-eth/UniDepth
+license: cc-by-nc-4.0
 ---
 
-This model has been pushed to the Hub using **UniDepth**:
-- Repo: https://github.com/lpiccinelli-eth/UniDepth
-- Docs: [More Information Needed]
+[![arXiv](https://img.shields.io/badge/UniDepthV2%20arXiv-2502.20110-blue?logo=arxiv&color=%23B31B1B)](https://arxiv.org/abs/2502.20110)
+[![arXiv](https://img.shields.io/badge/UniDepthV1%20arXiv-2403.18913-blue?logo=arxiv-v1&color=%23B31B1B)](https://arxiv.org/abs/2403.18913)
+[![ProjectPage](https://img.shields.io/badge/Project_Page-UniDepth-blue)](https://lpiccinelli-eth.github.io/pub/unidepth/)
+
+# UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
+
+[![KITTI Benchmark](https://img.shields.io/badge/KITTI%20Benchmark-1st%20(at%20submission%20time)-orange)](https://www.cvlibs.net/datasets/kitti/eval_depth.php?benchmark=depth_prediction)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/unidepthv2-universal-monocular-metric-depth/monocular-depth-estimation-on-nyu-depth-v2)](https://paperswithcode.com/sota/monocular-depth-estimation-on-nyu-depth-v2?p=unidepthv2-universal-monocular-metric-depth)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/unidepthv2-universal-monocular-metric-depth/monocular-depth-estimation-on-kitti-eigen)](https://paperswithcode.com/sota/monocular-depth-estimation-on-kitti-eigen?p=unidepthv2-universal-monocular-metric-depth)
+
+
+![](assets/docs/unidepthv2-banner.png)
+
+> [**UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler**](https://arxiv.org/abs/2403.18913),  
+> Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang, Mattia Segu, Siyuan Li, Wim Abbeloos, Luc Van Gool,  
+> under submission,  
+> *Paper at [arXiv 2502.20110](https://arxiv.org/abs/2502.20110)*  
+
+
+# UniDepth: Universal Monocular Metric Depth Estimation
+
+[![KITTI Benchmark](https://img.shields.io/badge/KITTI%20Benchmark-1st%20(at%20submission%20time)-orange)](https://www.cvlibs.net/datasets/kitti/eval_depth.php?benchmark=depth_prediction)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/unidepth-universal-monocular-metric-depth/monocular-depth-estimation-on-nyu-depth-v2)](https://paperswithcode.com/sota/monocular-depth-estimation-on-nyu-depth-v2?p=unidepth-universal-monocular-metric-depth)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/unidepth-universal-monocular-metric-depth/monocular-depth-estimation-on-kitti-eigen)](https://paperswithcode.com/sota/monocular-depth-estimation-on-kitti-eigen?p=unidepth-universal-monocular-metric-depth)
+
+![](assets/docs/unidepth-banner.png)
+
+> [**UniDepth: Universal Monocular Metric Depth Estimation**](https://arxiv.org/abs/2403.18913),  
+> Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu,  
+> CVPR 2024,  
+> *Paper at [arXiv 2403.18913](https://arxiv.org/pdf/2403.18913.pdf)*  
+
+
+
+## News and ToDo
+
+- [ ] HuggingFace/Gradio demo.
+- [x] `28.02.2025`: Release UniDepthV2.
+- [x] `15.10.2024`: Release training code.
+- [x] `02.04.2024`: Release UniDepth as python package.
+- [x] `01.04.2024`: Inference code and V1 models are released.
+- [x] `26.02.2024`: UniDepth is accepted at CVPR 2024! (Highlight :star:)
+
+
+## Zero-Shot Visualization
+
+### YouTube (The Office - Parkour)
+<p align="center">
+  <img src="assets/docs/theoffice.gif" alt="animated" />
+</p>
+
+### NuScenes (stitched cameras)
+<p align="center">
+  <img src="assets/docs/nuscenes_surround.gif" alt="animated" />
+</p>
+
+
+## Installation
+... (rest of the content remains the same)