AlphaRotate is a deep learning-based rotation detection benchmark that uses TensorFlow to perform oriented object detection, primarily targeting remote sensing and aerial imagery applications. It supports multiple datasets including DOTA, HRSC2016, and ICDAR, and employs backbones such as ResNet for feature extraction. The project implements state-of-the-art detection architectures designed to handle arbitrary rotated bounding boxes.