| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-to-image |
| language: |
| - en |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| ## SEED-Data-Edit |
|
|
|  |
| SEED-Data-Edit is a hybrid dataset for **instruction-guided image editing** with a total of 3.7 image editing pairs, which comprises three distinct types of data: |
|
|
| **Part-1**: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). |
|
|
| **Part-2**: Real-world scenario data collected from the internet (52K editing pairs). |
|
|
| **Part-3**: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum of 5 rounds). |
|
|
| This repo contains Part-1 of SEED-Data-Edit, with source images come from [Unsplash](https://github.com/unsplash/datasets). |
|
|
| After downloading the data, you first need to reassemble the split files back into the original .tar.gz file as below, and then unzip the files. |
|
|
| ```bash |
| cat unsplash_images.tar.gz.part-* > unsplash_images.tar.gz |
| ``` |
|
|
| The folder "annotations" contains the original instructions, while this folder "annotations_GPT4V" stores a small portion of instructions that have been rewritten by GPT-4V. |
| |
| ## SEED-X-Edit |
| You can download the image editing model SEED-X-Edit in [Model](https://huggingface.co/AILab-CVC/SEED-X-17B/tree/main/seed_x_edit), |
| which is instruction tuned from the pre-trained [SEED-X](https://arxiv.org/abs/2404.14396) with SEED-Data-Edit. |
| |
| For inference with SEED-X-Edit, you can refer to [SEED-X](https://github.com/AILab-CVC/SEED-X/tree/main). |
| |
|  |
| |
| ## License |
| SEED-Data-Edit is released under the license CC-BY-NC-4.0 for non-commercial research purpose only. |
| Any use of the dataset for commercial purposes is strictly prohibited. |
| |
| For Part-1, we use images from [Unsplash](https://github.com/unsplash/datasets) and [Openimages](https://arxiv.org/pdf/1811.00982). |
| |
| For Part-2, we collect images from [Photoshopbattles](https://www.reddit.com/r/photoshopbattles/), [Photoshop gurus](https://www.photoshopgurus.com/forum/), |
| [Photoshoprequest](https://www.reddit.com/r/PhotoshopRequest/), and [Zhopped](http://zhopped.com/). |
| |
| For Part-3, we use images from [Unsplash](https://github.com/unsplash/datasets), [SAM](https://arxiv.org/abs/2304.02643), and [JourneyDB](https://arxiv.org/abs/2307.00716). |
| |
| Tencent does not hold the copyright for these images and the copyright belongs to the original owner. |
| |
| If any image in SEED-Data-Edit infringes upon your rights, please contact us immediately and we will promptly remove the corresponding data. |
| |