AIGCers/EditData

This repository hosts the dataset resources for training and benchmarking image editing models.
All paths are relative to the repository root when cloned via Git.

📂 Dataset Structure

After cloning, you should have the following directories:

project_name/
├── dataset/
│   └── image_edit/
│       └── OmniEdit/          # Training data
└── edit_benchmark/
    └── data/                  # Benchmark data

Training Data

The training set is located under:

dataset/image_edit/OmniEdit

This directory contains images we need.

Benchmark Data

The benchmark set is located under:

edit_benchmark/data

This directory provides standardized test instructions and images used for evaluating editing performance across multiple metrics.

📑 Notes

All paths are relative to the repository root after cloning.

Simply download or clone the repository and place the files into the corresponding directories shown above.

The benchmark is designed to be consistent with common editing evaluation setups (e.g., GEdit, ImgEdit-Bench).