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---
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)