README.md

metadata

size_categories:
  - 10K<n<100K
task_categories:
  - image-to-image
dataset_info:
  features:
    - name: lensless
      dtype: image
    - name: lensed
      dtype: image
  splits:
    - name: train
      num_bytes: 7272353162
      num_examples: 24000
    - name: test
      num_bytes: 301960554
      num_examples: 999
  download_size: 7579608881
  dataset_size: 7574313716
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
tags:
  - lensless
  - computational imaging

Same as this dataset but with images normalized to full 8-bit range. For future models, better to train with this dataset.

More accessible copy (6GB instead of 100GB) of: https://waller-lab.github.io/LenslessLearning/dataset.html

Original license: https://github.com/Waller-Lab/LenslessLearning/blob/master/LICENSE