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YAML Metadata
Warning:
The task_categories "deepfake-detection" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
deep-fake-detection-cropped
This dataset is part of the DFB (DeepFake Benchmark) collection for deepfake detection research.
Dataset Information
- Dataset Name: deep-fake-detection-cropped
- Size: ~0.75 GB
- Number of Files: 3,293
- Task: Deepfake Detection / Video Classification
Usage
from datasets import load_dataset
dataset = load_dataset("dfb-data/deep-fake-detection-cropped")
Citation
If you use this dataset, please cite the original source.
Organization
This dataset is maintained by the DFB Data organization.
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