yangxue0827/RotationDetection
A TensorFlow-based benchmark for rotating object detection in remote sensing and aerial images.
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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.
Frequently asked
- What is yangxue0827/RotationDetection?
- A TensorFlow-based benchmark for rotating object detection in remote sensing and aerial images.
- Is RotationDetection open source?
- Yes — yangxue0827/RotationDetection is open source, released under the Apache-2.0 license.
- What language is RotationDetection written in?
- yangxue0827/RotationDetection is primarily written in Python.
- How popular is RotationDetection?
- yangxue0827/RotationDetection has 1.1k stars on GitHub.
- Where can I find RotationDetection?
- yangxue0827/RotationDetection is on GitHub at https://github.com/yangxue0827/RotationDetection.