Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AlphaRotate: A Rotation Detection Benchmark using TensorFlow   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.

15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics