Method

YOLO9000: better, faster, stronger [YOLO9000]
[Anonymous Submission]

Submitted on 16 Mar. 2018 09:49 by
[Anonymous Submission]

Running time:0.03 s
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
YOLO9000, original version.
Parameters:
Default
Latex Bibtex:
@article{redmon2016yolo9000,
title={YOLO9000: better, faster, stronger},
author={Redmon, Joseph and Farhadi, Ali},
journal={arXiv preprint},
volume={1612},
year={2016}
}

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).


Benchmark Easy Moderate Hard
Car (Detection) 76.79 % 61.31 % 50.25 %
This table as LaTeX


2D object detection results.
This figure as: png eps pdf txt gnuplot




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