ControlNet/AV-Deepfake1M-PlusPlus
AV-Deepfake1M++ The dataset used for the 2025 1M-Deepfakes Detection Challenge. Task 1 Video-Level Deepfake Detection: Given an audio-visual sample containing a single speaker, the task is to identify if the video is a deepfake or real. Task 2 Deepfake Temporal Localization: Given an audio-visual sample containing a single speaker, the task is to find out the timestamps [start, end] in which the manipulation is done. The assumption here is that from the perspective of… See the full description on the dataset page: https://huggingface.co/datasets/ControlNet/AV-Deepfake1M-PlusPlus.
| Author / organization | ControlNet |
|---|---|
| License (as declared) | other |
| Downloads | 442 (as reported by Hugging Face) |
| Likes | 23 |
| Created | 7 April 2025 |
| Last updated at source | 19 November 2025 |
Recent changes
- 16 Oct 2026 Description: AV-Deepfake1M++ The dataset used for the 2025 1M-Deepfakes Detection Challenge. Task 1 Video-Level Deepfake Detection: Given an audio-visual sample containing a single speaker, the task is to identify if the video is a deepfake or real. Tas → AV-Deepfake1M++ The dataset used for the 2025 1M-Deepfakes Detection Challenge. Task 1 Video-Level Deepfake Detection: Given an audio-visual sample containing a single speaker, the task is to identify if the video is a deepfake or real. Tas
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