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{ "dima806_deepfake": { "name": "Deepfake vs Real Image Detection", "type": "huggingface", "hf_path": "dima806/deepfake_vs_real_image_detection", "description": "Pre-annotated 140k real & fake face images from StyleGAN/FFHQ." }, "ntire_robust_detection": { "name": "NTIRE Robust AI-Generated De...
{ "faceforensics_pp": { "name": "FaceForensics++ (FF++)", "type": "external/github", "repo": "https://github.com/ondyari/FaceForensics", "description": "1,000 real videos & 5,000 fake videos (Deepfakes, Face2Face, FaceSwap, NeuralTextures)." }, "celeb_df_v2": { "name": "Celeb-DF (v2)", "ty...
{ "deepspeak_audio": { "name": "DeepSpeak Voice Deepfakes", "type": "huggingface", "hf_path": "faridlab/deepspeak_v1", "description": "Voice clone & audio deepfake speech clips." }, "fakeavceleb_audio": { "name": "FakeAVCeleb (Audio-Visual Deepfakes)", "type": "github", "repo": "https:...
{ "multifakeverse": { "name": "MultiFakeVerse (Person-Centric VLM Manipulation)", "type": "external/arxiv", "scale": ">845,000 images", "paper": "https://arxiv.org/abs/2403.07689", "description": "Large-scale person-centric benchmark using Vision-Language Models (VLMs) to create subtle context, ac...

Dual-Stream DeepFake Foundational Baseline Connectors

This repository provides standardized data connectors, download manifests, and partition splits for the 8 foundational baseline datasets used in the Dual-Stream Deepfake Detection Framework.

📊 Dual-Stream Model Allocation

🖼️ Model 1: General Vision & Signal Model (>578,000 samples)

  1. NTIRE-RobustAIGenDetection (~120,000 samples): Multi-generator synthetic artifacts (MSU 2024).
  2. CIFAKE (120,000 samples): 60,000 real CIFAR-10 vs 60,000 Stable Diffusion.
  3. DF40 (40,000 samples): 40 advanced deepfake generation algorithms.
  4. DFFD (298,000 samples): Diverse Fake Face Dataset (58k real / 240k GAN fakes). Augmented with Threads Hard Negatives ($H(P) \ge 0.70$).

🧬 Model 2: Human Biometric Model (>1,105,000 samples)

  1. MultiFakeVerse (>845,000 samples): Person-centric VLM manipulation (arXiv:2403.07689).
  2. HiDF (~70,000 samples): Human-Indistinguishable Deepfakes (62k img, 8k vid).
  3. 140k Real & Fake Faces (140,000 samples): 70k Flickr real vs 70k StyleGAN.
  4. DeepDetect-2025/2026 (50,000 samples): Adversarial Flux/Midjourney v6 vs Unsplash. Augmented with Threads Vietnamese 5-Taxonomy In-The-Wild Media.
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