metadata
license: gpl-3.0
tags:
- object-detection
- computer-vision
- yolov6
- yolo
datasets:
- detection-datasets/coco
Model Description
YOLOv6: A single-stage object detection framework dedicated to industrial applications.
YOLOv6 v3.0: A Full-Scale Reloading
YOLOv6-Pip: Packaged version of the Yolov6 repository
Paper Repo: Implementation of paper - YOLOv6
Installation
pip install yolov6detect
Yolov6 Inference
from yolov6 import YOLOV6
model = YOLOV6(weights='kadirnar/yolov6l-v3.0', device='cuda:0', hf_model=True)
model.classes = None
model.conf = 0.25
model.iou = 0.45
model.show = False
model.save = True
pred = model.predict(source='data/images',yaml='data/coco.yaml', img_size=640)
BibTeX Entry and Citation Info
@article{li2022yolov6,
title={YOLOv6: A single-stage object detection framework for industrial applications},
author={Li, Chuyi and Li, Lulu and Jiang, Hongliang and Weng, Kaiheng and Geng, Yifei and Li, Liang and Ke, Zaidan and Li, Qingyuan and Cheng, Meng and Nie, Weiqiang and others},
journal={arXiv preprint arXiv:2209.02976},
year={2022}
}