metadata

task_categories:
  - depth-estimation
size_categories:
  - 10K<n<100K

Dataset Card for nyu-depthv2-wds

This is the NYU DepthV2 dataset, converted into the webdataset format. https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/

There are 47584 samples in the training split, and 654 samples in the validation split.

I shuffled both the training samples, and the validation samples.

I also cropped 16 pixels from all sides of the image, and depth image. I did this because there is a white border around all images.

This is an example of the border artifacts in the images:

Dataset Details

Each sample contains a jpg image, and a numpy array of depth data. Depth maps are stored in float16.

Train a depth prediction model on the train split, and test on the val split!