This project uses convolutional neural networks combined with Gaussian mixture models to recognize and locate upside-down Chinese characters in Zhihu captcha images. The model is trained on captcha samples and can evaluate new images to identify character positions. It requires PyTorch, scikit-learn, and standard image processing libraries.