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Compared with the YOLO family of detectors, it has a lower number of parameters and calculations without significantly reducing detection accuracy.

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BYOLO

BYOLO performance plots

Operating environment

CUDA CUDNN Python torch torchvision
11.3 8.9.2 3.8 2.1.2 0.16.2

Results at COCO 2017 val

Model Size mAPval
0.5:0.95
mAPval
0.5
Params
(M)
FLOPs
(G)
BYOLO-N 640 38.3 55.0 1.5 3.8
BYOLO-S 640 45.1 62.4 4.7 10.6
BYOLO-M 640 50.0 66.7 11.1 24.7
BYOLO-L 640 52.1 69.0 20.8 46.7

Quick Start

Install
git clone https://github.com/Anoue/BYOLO.git
cd BYOLO
pip install -r requirements.txt

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Compared with the YOLO family of detectors, it has a lower number of parameters and calculations without significantly reducing detection accuracy.

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