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--- |
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pretty_name: DPDD |
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license: mit |
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configs: |
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- config_name: combined |
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data_files: |
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- split: train |
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path: combined/train-* |
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- split: val |
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path: combined/val-* |
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- split: test |
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path: combined/test-* |
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- config_name: left |
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data_files: |
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- split: train |
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path: left/train-* |
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- split: val |
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path: left/val-* |
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- split: test |
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path: left/test-* |
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- config_name: right |
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data_files: |
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- split: train |
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path: right/train-* |
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- split: val |
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path: right/val-* |
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- split: test |
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path: right/test-* |
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dataset_info: |
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- config_name: combined |
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features: |
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- name: source |
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dtype: image |
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- name: target |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 5955996924.0 |
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num_examples: 350 |
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|
- name: val |
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num_bytes: 1287133812.0 |
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num_examples: 74 |
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- name: test |
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num_bytes: 1286755475.0 |
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num_examples: 76 |
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download_size: 8530312203 |
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dataset_size: 8529886211.0 |
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- config_name: left |
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features: |
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- name: source |
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dtype: image |
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splits: |
|
|
- name: train |
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|
num_bytes: 2934714938.0 |
|
|
num_examples: 350 |
|
|
- name: val |
|
|
num_bytes: 631641910.0 |
|
|
num_examples: 74 |
|
|
- name: test |
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num_bytes: 635338302.0 |
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num_examples: 76 |
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download_size: 4201900846 |
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dataset_size: 4201695150.0 |
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- config_name: right |
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features: |
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- name: source |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 2938871158.0 |
|
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num_examples: 350 |
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|
- name: val |
|
|
num_bytes: 632939190.0 |
|
|
num_examples: 74 |
|
|
- name: test |
|
|
num_bytes: 636422517.0 |
|
|
num_examples: 76 |
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download_size: 4208438874 |
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dataset_size: 4208232865.0 |
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--- |
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# DPDD |
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The DPDD dataset (Dual-Pixel Defocus Deblurring) provides paired defocused and all-in-focus images, along with dual-pixel sub-aperture views, for training and evaluating models on defocus-deblurring tasks. Each scene includes a defocused image captured with a wide aperture, its left/right dual-pixel views, and a corresponding sharp image captured with a small aperture. |
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This is a Hugging Face compatible version created from the original dataset released with the paper **Defocus Deblurring Using Dual-Pixel Data (ECCV 2020)** by Abdullah Abuolaim and Michael S. Brown. |
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The original repository is licensed under the **MIT License**, and so does this version. When using the dataset, please cite the original paper as requested by the authors. |
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## Usage |
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```py |
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from datasets import load_dataset |
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ds = load_dataset("JacobLinCool/DPDD") |
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print(ds) |
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# DatasetDict({ |
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# train: Dataset({ |
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# features: ['source', 'target'], |
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# num_rows: 350 |
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# }) |
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# val: Dataset({ |
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# features: ['source', 'target'], |
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# num_rows: 74 |
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# }) |
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# test: Dataset({ |
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# features: ['source', 'target'], |
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# num_rows: 76 |
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# }) |
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# }) |
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print(ds["train"][0]) |
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# {'source': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=1680x1120>, |
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# 'target': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=1680x1120>} |
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``` |
