基于YOLOv8/YOLOv7/YOLOv6/YOLOv5的条形码二维码检测系统(深度学习+UI界面+训练数据集+Python代码)-结束语

        由于博主能力有限,博文中提及的方法即使经过试验,也难免会有疏漏之处。希望您能热心指出其中的错误,以便下次修改时能以一个更完美更严谨的样子,呈现在大家面前。同时如果有更好的实现方法也请您不吝赐教。


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  2. Wang G, Chen Y, An P, et al. UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios[J]. Sensors, 2023, 23(16): 7190. ↩︎

  3. Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 7464-7475. ↩︎

  4. Yung N D T, Wong W K, Juwono F H, et al. Safety helmet detection using deep learning: Implementation and comparative study using YOLOv5, YOLOv6, and YOLOv7[C]//2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST). IEEE, 2022: 164-170. ↩︎

  5. Mathew M P, Mahesh T Y. Leaf-based disease detection in bell pepper plant using YOLO v5[J]. Signal, Image and Video Processing, 2022: 1-7. ↩︎

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