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Deepfake Vs Real V2 dataset by dappai
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Dataset

Deepfake Vs Real V2

by dappai hf-dataset--dappai--deepfake-vs-real-v2
Nexus Index
42.0 Top 0%
S / A / P / R / Q Breakdown Calibration Pending

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Tech Context
Vital Performance
0 DL / 30D
0.0%

**Deepfake-vs-Real-v2** is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the d...

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Data Integrity 42 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID hf-dataset--dappai--deepfake-vs-real-v2
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__dappai__deepfake_vs_real_v2,
  author = {dappai},
  title = {Deepfake Vs Real V2 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/dappai/Deepfake-vs-Real-v2}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
dappai. (2026). Deepfake Vs Real V2 [Dataset]. Free2AITools. https://huggingface.co/datasets/dappai/Deepfake-vs-Real-v2

πŸ”¬Technical Deep Dive

Full Specifications [+]

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Methodology Index Protocol
42.0
ESTIMATED IMPACT TIER
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

πŸ’¬ Index Insight

FNI V2.0 for Deepfake Vs Real V2: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

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Dataset Specification

license: apache-2.0
task_categories:

  • image-classification
    language:
  • en
    tags:
  • Deepfake
  • Real
  • Classification
  • Net
    size_categories:
  • 10K<n<100K

Deepfake-vs-Real-v2

Deepfake-vs-Real-v2 is a dataset designed for image classification, distinguishing between deepfake and real images. This dataset includes a diverse collection of high-quality deepfake images to enhance classification accuracy and improve the model’s overall efficiency. By providing a well-balanced dataset, it aims to support the development of more robust deepfake detection models.

Label Mappings

  • Mapping of IDs to Labels: {0: 'Deepfake', 1: 'Real'}
  • Mapping of Labels to IDs: {'Deepfake': 0, 'Real': 1}

This dataset serves as a valuable resource for training, evaluating, and benchmarking AI models in the field of deepfake detection.

Dataset Composition

The Deepfake-vs-Real-v2 dataset is composed of modular subsets derived from the following datasets:

  • Deepfakes-QA-Patch1
  • Deepfakes-QA-Patch2

These subsets contribute to a diverse and high-quality dataset, enhancing the classification performance of deepfake detection models. By integrating multiple sources, this dataset ensures better generalization and improved robustness in distinguishing between deepfake and real images.

Top Tier

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πŸ†” Identity & Source

id
hf-dataset--dappai--deepfake-vs-real-v2
source
huggingface
author
dappai
tags
task_categories:image-classificationlanguage:enlicense:apache-2.0size_categories:10kmodality:imageregion:usdeepfakerealclassificationnet

βš™οΈ Technical Specs

architecture
null
params billions
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context length
null

πŸ“Š Engagement & Metrics

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downloads
32,650

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