| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| splits: |
| - name: cross_test |
| num_bytes: 268272318 |
| num_examples: 3621 |
| download_size: 268291289 |
| dataset_size: 268272318 |
| configs: |
| - config_name: default |
| data_files: |
| - split: cross_test |
| path: data/cross_test-* |
| --- |
| |
| # AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics |
|
|
| This repository provides the processed **AutoSplice** benchmark dataset for image forgery detection and manipulation localization, formatted consistently with other benchmarks such as [KhangTruong/CocoGlide](https://huggingface.co/datasets/KhangTruong/CocoGlide), [KhangTruong/OpenSDID](https://huggingface.co/datasets/KhangTruong/OpenSDID), [KhangTruong/Casia-v2.0](https://huggingface.co/datasets/KhangTruong/Casia-v2.0), and [KhangTruong/Diffseg30k](https://huggingface.co/datasets/KhangTruong/Diffseg30k). |
|
|
| ## Dataset Overview |
|
|
| - **Dataset Name:** AutoSplice (Forged_JPEG100 canonical baseline) |
| - **Split:** `cross_test` |
| - **Total Samples:** 3621 |
| - **Generator:** DALL-E 2 language-image model guided by contextual text prompts |
| - **Columns:** |
| - `image` (`Image`): The tampered image (lossless JPEG quality 100). |
| - `mask` (`Image`): Single-channel ground-truth binary mask (`0` = pristine / background, `255` = tampered / spliced region). Samples with only black masks (no tampered regions) have been removed. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("KhangTruong/AutoSplice", split="cross_test") |
| |
| sample = dataset[0] |
| image = sample["image"] |
| mask = sample["mask"] |
| |
| print(image.size, mask.size) |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{jia2023autosplice, |
| title={AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics}, |
| author={Jia, Shan and Huang, Mingzhen and Zhou, Zhou and Ju, Yan and Cai, Jialing and Lyu, Siwei}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, |
| pages={893--903}, |
| year={2023} |
| } |
| ``` |
|
|
| ## License & Usage Notes |
| Released for non-commercial research and educational purposes in accordance with the original AutoSplice dataset terms. |
|
|
