Method

2D_ObjectDetector_Yolov5Backbone [Yolov5ObjectDetector]
[Anonymous Submission]

Submitted on 1 Oct. 2022 16:28 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
yolov5 object detection
Parameters:
alpha = -10
Latex Bibtex:

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) 93.39 % 82.54 % 72.65 %
Pedestrian (Detection) 58.46 % 42.74 % 38.32 %
Cyclist (Detection) 45.65 % 31.69 % 29.37 %
This table as LaTeX

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



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



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




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