Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name

NYUDepth

### Paper

http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf

### Data

https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html

### Motivation

Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:

* [GLPN](https://huggingface.co/docs/transformers/model_doc/glpn)
* [DPT](https://huggingface.co/docs/transformers/model_doc/dpt)

Would be nice to have a dataset for depth estimation. These datasets usually have three things: input image, depth map image, and depth mask (validity mask to indicate if a reading for a pixel is valid or not). Since we already have [semantic segmentation datasets on the Hub](https://huggingface.co/datasets?task_categories=task_categories:image-segmentation&sort=downloads), I don't think we need any extended utilities to support this addition. 

Having this dataset would also allow us to author data preprocessing guides for depth estimation, particularly like the ones we have for other tasks ([example](https://huggingface.co/docs/datasets/image_classification)). 

Ccing @osanseviero @nateraw @NielsRogge 

Happy to work on adding it. 