captcha_recognize

Eliminates the need for complex image segmentation by recognizing characters directly from whole captcha images, simplifying the processing pipeline as highlighted in the project description.

Achieves up to 99.7% accuracy on certain captcha datasets after training, as demonstrated in the README with specific evaluation scripts like captcha_eval.py.

Includes dedicated scripts for training on multiple GPUs, accelerating model development and making it efficient for large-scale datasets.

Allows training on user-provided captcha images with specific naming conventions, enabling adaptation to various captcha formats without code modifications.