---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': ai_generated
          '1': human_created
  - name: image_name
    dtype: string
  splits:
  - name: train
    num_bytes: 831331860
    num_examples: 11998
  - name: test
    num_bytes: 102610854
    num_examples: 1500
  - name: validation
    num_bytes: 101540782
    num_examples: 1499
  download_size: 1035437916
  dataset_size: 1035483496
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
task_categories:
- image-classification
language:
- en
tags:
- images
- ai
pretty_name: Skynet Detection
size_categories:
- 10K<n<100K
---

# Description

Roughly 15k images evenly split between AI generated and human generated for the purpose of training models to detect AI generated content.
Images have been converted to numpy arrays and resized to 224x224x3 for alignment with CNN models available on Tensorflow

# Sources

The following sources were used to collect the images  

[AI vs Human](Hemg/AI-Generated-vs-Real-Images-Datasets)  
[Open Images V7](https://storage.googleapis.com/openimages/web/index.html)  
[Laion - 400M](https://laion.ai/)  

# Dataset_Info

  Features:  
  - name: image  
    dtype: numpy arrays (224x224x3)  
    
  - name: label  
    dtype: class_label
    - names:
      - '0': ai_generated
      - '1': human_created  
   
  - name: image_name  
    dtype: string  
    description: unique index for tracking image   
    
  Splits:
  
  - name: train  
    num_bytes: 831 Mb  
    num_examples: 11,998  
    
  - name: test  
    num_bytes: 102 Mb  
    num_examples: 1,500  

  - name: validation  
    num_bytes: 101 Mb  
    num_examples: 1,499  

  download_size: 1.04 Gb  
  dataset_size: 1.04 Gb  
  
Configs:  

- config_name: default  

  data_files:  
  - split: train   
    path: data/train-*  
  - split: test  
    path: data/test-*  
  - split: validation  
    path: data/validation-*