TheKernel01/140k-Real-and-Fake-Faces
140k Real and Fake Faces Dataset 📝 Dataset Description Dataset Summary The 140k Real and Fake Faces Dataset is a balanced face image collection designed to benchmark models for detecting StyleGAN-generated faces. The dataset contains 70,000 real human face photographs sourced from the Flickr-Faces-HQ (FFHQ) dataset compiled by NVIDIA, and 70,000 fake faces sampled from the 1 Million Fake Faces dataset generated by StyleGAN and originally provided… See the full description on the dataset page: https://huggingface.co/datasets/TheKernel01/140k-Real-and-Fake-Faces.
| Author / organization | TheKernel01 |
|---|---|
| License (as declared) | cc |
| Downloads | 814 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 March 2026 |
| Last updated at source | 20 May 2026 |
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814 now (-50 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- obuladinnesai/claim-photo-integrity-detector-v4Model · used to train
- obuladinnesai/claim-photo-integrity-detector-v5Model · used to train
- obuladinnesai/claim-photo-integrity-detectorModel · used to train
Recent changes
- 16 Oct 2026 Description: 140k Real and Fake Faces Dataset 📝 Dataset Description Dataset Summary The 140k Real and Fake Faces Dataset is a balanced face image collection designed to benchmark models for detecting StyleGAN-generated faces. The dataset contains 70,00 → 140k Real and Fake Faces Dataset 📝 Dataset Description Dataset Summary The 140k Real and Fake Faces Dataset is a balanced face image collection designed to benchmark models for detecting StyleGAN-generated faces. The dataset contains 70,00
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