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DeepFake Detection datasets
archive 2025-07-2826 datasets carry the task tag "DeepFake Detection" (the task itself: DeepFake Detection), ordered by the archive's paper count. Page 1 of 1: 26 shown of 26. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52DeepFake Detection 26
DeepFake Detection datasets 1–26 of 26
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures.
368 papers · 2 benchmarks
Celeb-DF is a large-scale challenging dataset for deepfake forensics.
187 papers · 0 benchmarks
DFDC (Deepfake Detection Challenge)
The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos.
126 papers · 1 benchmark
FaceForensics is a video dataset consisting of more than 500,000 frames containing faces from 1004 videos that can be used to study image or video forgeries.
88 papers · 1 benchmark
FakeAVCeleb is a novel Audio-Video Deepfake dataset that not only contains deepfake videos but respective synthesized cloned audios as well.
65 papers · 2 benchmarks
WildDeepfake is a dataset for real-world deepfakes detection which consists of 7,314 face sequences extracted from 707 deepfake videos that are collected completely from the internet.
49 papers · 0 benchmarks
38 papers · 0 benchmarks
28 papers · 2 benchmarks
DeeperForensics-1.0 represents the largest face forgery detection dataset by far, with 60,000 videos constituted by a total of 17.6 million frames, 10 times larger than existing datasets of the same kind.
27 papers · 0 benchmarks
KoDF (Korean DeepFake Detection Dataset)
The Korean DeepFake Detection Dataset (KoDF) is a large-scale collection of synthesized and real videos focused on Korean subjects, used for the task of deepfake detection.
27 papers · 0 benchmarks
LAV-DF (Localized Audio Visual DeepFake Dataset)
Localized Audio Visual DeepFake Dataset (LAV-DF).
14 papers · 1 benchmark
Forgery Diversity: DF40 comprises 40 distinct deepfake techniques (both representive and SOTA methods are included), facilitating the detection of nowadays' SOTA deepfakes and AIGCs.
11 papers · 0 benchmarks
The detection and localization of highly realistic deepfake audio-visual content are challenging even for the most advanced state-of-the-art methods.
9 papers · 0 benchmarks
We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real /…
5 papers · 1 benchmark
The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness.
4 papers · 2 benchmarks
DFDM (Deepfake videos generated from different models)
We created a new dataset, named DFDM, with 6,450 Deepfake videos generated by different Autoencoder models.
3 papers · 0 benchmarks
3 papers · 0 benchmarks
Human face Deepfake dataset sampled from large datasets - High Quality Dataset - Diverse Dataset - Challenging Dataset - Large Dataset - Text prompts
3 papers · 0 benchmarks
SONICS (Synthetic Or Not - Identifying Counterfeit Songs)
SONICS is a large-scale dataset comprising 97,164 songs — 48,090 real songs from YouTube and 49,074 fake songs from Suno & Udio — designed for synthetic song detection (SSD), also known as fake song detection (FSD).
3 papers · 0 benchmarks
DeePhy is a novel DeepFake Phylogeny dataset consisting of 5040 DeepFake videos generated using three different generation techniques.
2 papers · 0 benchmarks
We release the dataset for non-commercial research.
2 papers · 0 benchmarks
DEEP-VOICE: DeepFake Voice Recognition (Jordan Bird)
DEEP-VOICE: Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion This dataset contains examples of real human speech, and DeepFake versions of those speeches by using Retrieval-based Voice Conversion.
1 paper · 1 benchmark
This dataset was created to test whether it's possible to build a general-purpose detector that can tell real images apart from fake ones generated by convolutional neural networks (CNNs), no matter which model or dataset was used to…
1 paper · 0 benchmarks
The Deepfake face detection task involves a facial image of unknown authenticity for testing.
1 paper · 0 benchmarks
The TwinSynths dataset is a novel benchmark designed to overcome common limitations found in earlier synthetic image datasets, such as low image quality, inadequate content preservation, and limited class diversity.
1 paper · 0 benchmarks
The DeepSpeak dataset contains over 43 hours of real and deepfake footage of people talking and gesturing in front of their webcams.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.