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---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: depth
    dtype: image
  - name: label
    dtype: image
  splits:
  - name: train
    num_bytes: 152339736
    num_examples: 795
  - name: test
    num_bytes: 124128749
    num_examples: 654
  download_size: 276518209
  dataset_size: 276468485
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- image-segmentation
---

# NYUDepth v2

Easier version for semantic segmentation. 

Comes from: 

Indoor Segmentation and Support Inference from RGBD Images (ECCV 2012) ([PDF](https://cs.nyu.edu/~fergus/datasets/indoor_seg_support.pdf)) ([Bib](https://cs.nyu.edu/~fergus/datasets/indoor_seg_support.bib))