AlphaRotate: A Rotation Detection Benchmark using TensorFlow
- URL: http://arxiv.org/abs/2111.06677v1
- Date: Fri, 12 Nov 2021 11:56:40 GMT
- Title: AlphaRotate: A Rotation Detection Benchmark using TensorFlow
- Authors: Xue Yang, Yue Zhou, Junchi Yan
- Abstract summary: AlphaRotate is an open-source benchmark for performing scalable rotation detection on various datasets.
It currently provides more than 18 popular rotation detection models under a single, well-documented API.
AlphaRotate can be installed from PyPI and is released under the Apache-2.0 License.
- Score: 63.39088942989411
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: AlphaRotate is an open-source Tensorflow benchmark for performing scalable
rotation detection on various datasets. It currently provides more than 18
popular rotation detection models under a single, well-documented API designed
for use by both practitioners and researchers. AlphaRotate regards high
performance, robustness, sustainability and scalability as the core concept of
design, and all models are covered by unit testing, continuous integration,
code coverage, maintainability checks, and visual monitoring and analysis.
AlphaRotate can be installed from PyPI and is released under the Apache-2.0
License. Source code is available at
https://github.com/yangxue0827/RotationDetection.
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