| 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). | |