---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': real
          '1': fake
  splits:
  - name: train
    num_bytes: 7654010835.532001
    num_examples: 15764
  - name: test
    num_bytes: 1881214935.316
    num_examples: 3941
  download_size: 9129618774
  dataset_size: 9535225770.848
task_categories:
- image-classification
tags:
- deepfake
- image
---

This dataset is for different educational experiments of deepfake images classification. 
It consists of the small datasets with various original and deepfake scenes (faces, animation, urban scenes and others):
*   [**Columbia Uncompressed Image Splicing Dataset**](https://www.ee.columbia.edu/ln/dvmm/downloads/authsplcuncmp/)
*   [**Kaggle Deepfake Dataset Challenge**](https://www.kaggle.com/competitions/deepfake-detection-challenge/data)
*   [**CommunityForensics-Small**](https://huggingface.co/datasets/OwensLab/CommunityForensics-Small)


![image](https://cdn-uploads.huggingface.co/production/uploads/679a12bd854d49a1b74620f0/PRXhO8Ds5BzdDoshQDw14.png)


![image](https://cdn-uploads.huggingface.co/production/uploads/679a12bd854d49a1b74620f0/U7WFbMaweE9Tuiewz8Xcp.png)