prithivMLmods/Deepfake-vs-Real
Deepfake vs Real Deepfake vs Real is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of more robust deepfake detection models. Label Mappings Mapping of IDs to Labels: {0: 'Deepfake', 1:… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-vs-Real.
| Author / organization | prithivMLmods |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 19 February 2025 |
| Last updated at source | 19 February 2025 |
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147 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 17 Oct 2026 Description: Deepfake vs Real Deepfake vs Real is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy → Deepfake vs Real Deepfake vs Real is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy
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