This study examines the effectiveness of employing advanced machine learning techniques, particularly YOLO models, to solve Google's reCAPTCHAv2 captchas. The research finds that the use of machine learning achieves a 100% success rate in solving captchas, indicating that image-based captchas are becoming more vulnerable to AI technologies.
Learn how to perform image classification on edge devices like the Raspberry Pi using TensorFlow Lite and Mobilenet V2 models.
This page provides information on how to connect and utilize the SenseCAP Watcher as a Grove sensor using UART communication.
Use large language models embedded in single-file executables from the command line to perform tasks like renaming images based on their visual content
