File size: 2,888 Bytes
2940710 a27d2b3 2940710 a27d2b3 2940710 a27d2b3 2940710 80ca18d 2940710 80ca18d 2940710 80ca18d 2940710 52e4035 2940710 52e4035 2940710 52e4035 a27d2b3 80ca18d a27d2b3 80ca18d 52e4035 2940710 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 |
---
pretty_name: DPDD
license: mit
configs:
- config_name: combined
data_files:
- split: train
path: combined/train-*
- split: val
path: combined/val-*
- split: test
path: combined/test-*
- config_name: left
data_files:
- split: train
path: left/train-*
- split: val
path: left/val-*
- split: test
path: left/test-*
- config_name: right
data_files:
- split: train
path: right/train-*
- split: val
path: right/val-*
- split: test
path: right/test-*
dataset_info:
- config_name: combined
features:
- name: source
dtype: image
- name: target
dtype: image
splits:
- name: train
num_bytes: 5955996924.0
num_examples: 350
- name: val
num_bytes: 1287133812.0
num_examples: 74
- name: test
num_bytes: 1286755475.0
num_examples: 76
download_size: 8530312203
dataset_size: 8529886211.0
- config_name: left
features:
- name: source
dtype: image
splits:
- name: train
num_bytes: 2934714938.0
num_examples: 350
- name: val
num_bytes: 631641910.0
num_examples: 74
- name: test
num_bytes: 635338302.0
num_examples: 76
download_size: 4201900846
dataset_size: 4201695150.0
- config_name: right
features:
- name: source
dtype: image
splits:
- name: train
num_bytes: 2938871158.0
num_examples: 350
- name: val
num_bytes: 632939190.0
num_examples: 74
- name: test
num_bytes: 636422517.0
num_examples: 76
download_size: 4208438874
dataset_size: 4208232865.0
---
# DPDD
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.
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.
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.
## Usage
```py
from datasets import load_dataset
ds = load_dataset("JacobLinCool/DPDD")
print(ds)
# DatasetDict({
# train: Dataset({
# features: ['source', 'target'],
# num_rows: 350
# })
# val: Dataset({
# features: ['source', 'target'],
# num_rows: 74
# })
# test: Dataset({
# features: ['source', 'target'],
# num_rows: 76
# })
# })
print(ds["train"][0])
# {'source': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=1680x1120>,
# 'target': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=1680x1120>}
``` |