This project implements R2CNN and FPN detection frameworks for rotation-robust scene text detection and arbitrary-oriented object detection such as ships in remote sensing imagery. It uses ResNet as a backbone with multi-scale feature pyramid networks, operates on oriented bounding boxes rather than axis-aligned boxes, and is applied to satellite/remote sensing ship detection and scene text detection tasks. The implementation targets research use with Tensorflow and CUDA support.