readme: ---
  languages:
    - English
  tags:
  - recaptcha
  - captcha
  - hcaptcha
  - prediction
  - torch
  - efficientnet
  - keras
  - coreml
  - tensorflow
  - webapp
  - python
  ---
  
  * Captchot Images
  
  ** Captcha Images Prediction **
  
  This model is the images version of the Captchot project, a from-scratch experimental project containing two models to predict image based captchas and text-to-image based captchas
  
  ** Dataset **
  
  The dataset used is a dataset of 300k+ images taken from real-world captcha dumps (mainly reCaptcha 1 and 2 and hCaptcha plus others found to be used online) divided in categories (such as trains, cars, stairs...).
  
  The complete list of labels can be found in Structure.png.
  
  ** Files **
  
  You can find the training overall informations in training_info.png, the .zip structure in Structure.png and the demo webapp screenshot in Webapp.png. 
  
  Captchot_Images.zip contains the exported models for different frameworks: tensorflow, onnx, keras, a webapp demo, a python ready to use script and coreml .
  
  ** Model **
  
  The model has been trained with EfficientNet at 1000 iterations and early stop to avoid overfitting. The full network has been trained.
  
  ** Useless info **
  
  The training has been done on a M1 Pro Apple Silicon chip and took approximately 20h to fully train (plus the dataset importing phase).