- Ensure pip, setuptools, and wheel are up to date:
python -m pip install --upgrade pip setuptools wheel
- Download and install CUDA toolkit v10.0 from https://developer.nvidia.com/cuda-toolkit-archive
- Download and install cuDNN for CUDA toolkit v10.0 from https://developer.nvidia.com/cudnn
- Run
pip install -r requirements_gpu.txt
- Just run
pip install -r requirements.txt
Generated using the claptcha library found on: https://github.com/kuszaj/claptcha
The code to generate the dataset can be found on: https://github.com/EdYuTo/Captcha-training-AI/tree/master/dataset-generator (note that this code won't generate the dataset on the current folder hierachy)
The following paper gives further descriptions of this dataset and baseline evaluations using a bag-of-visual-words approach with several feature extraction methods and their combination using multiple kernel learning:
T. E. de Campos, B. R. Babu and M. Varma. Character recognition in natural images. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, February 2009 Bibtex | Abstract | PDF
Follow this link for a list publications that have cited the above paper and this link for papers that mention this dataset
Files downloaded from http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ and reorganized in diffrent folders
Note that the "L_" represents lower case and is exclusive to Chars dataset