Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - image-classification | |
| language: | |
| - en | |
| tags: | |
| - Deepfake | |
| - Real | |
| - image | |
| - video | |
| size_categories: | |
| - 10K<n<100K | |
| # **OpenDeepfake-Preview Dataset** | |
| OpenDeepfake-Preview is a dataset curated for the purpose of training and evaluating machine learning models for **deepfake detection**. It contains approximately 20,000 labeled image samples with a binary classification: **real** or **fake**. | |
| ## Dataset Details | |
| * **Task**: Image Classification (Deepfake Detection) | |
| * **Modalities**: Image, Video | |
| * **Format**: Parquet | |
| * **Languages**: English | |
| * **Total Rows**: 19,999 | |
| * **File Size**: 4.77 GB | |
| * **License**: Apache 2.0 | |
| ## Features | |
| * `image`: The input image used for classification. | |
| * `label`: The classification label: | |
| * `0` = fake | |
| * `1` = real | |
| ## Split | |
| * `train`: 19,999 images (as per current available preview) | |
| ## Usage | |
| To load the dataset in Python using the Hugging Face `datasets` library: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("prithivMLmods/OpenDeepfake-Preview") | |
| ``` | |
| ## Tags | |
| * Deepfake | |
| * Real | |
| * Image | |
| * Video | |
| * 20,000-Image-Approx | |
| ## Citation | |
| If you use this dataset in your research or project, please cite it appropriately. Refer to the Hugging Face dataset page for more details on authorship and contributions. | |
| ## License | |
| This dataset is distributed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |