Datasets:
metadata
license: mit
task_categories:
- image-to-image
tags:
- image-restoration
- photo-restoration
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: sample
dtype: string
- name: original
dtype: image
- name: clean
dtype: image
- name: scratches
dtype: image
- name: crevices
dtype: image
- name: blob_tears
dtype: image
- name: blur
dtype: image
- name: burns
dtype: image
- name: jpeg
dtype: image
splits:
- name: train
num_bytes: 73086131
num_examples: 9
download_size: 73098561
dataset_size: 73086131
mail me @akshankrithick305@gmail.com for damage generation code
RestorEdit FLUX
Synthetic photo restoration dataset with 6 damage types.
| Column | Description |
|---|---|
| original | Real damaged photo |
| clean | FLUX-generated clean version |
| scratches | v0: Opaque white/silver lines |
| crevices | v1: Cream paper tears |
| blob_tears | v2: Soft-edge tears |
| blur | v3: Gaussian/motion blur |
| burns | v4: Dark charred areas |
| jpeg | v5: Compression artifacts |