Correction: Driver fatigue detection based on improved YOLOv7

Journal of Real-Time Image Processing (2024) 21:104 https://doi.org/10.1007/s11554-024-01489-7 CORRECTION Correction: Driver fatigue detection based on improved YOLOv7 Xianguo Li1,2 · Xueyan Li1 · Zhenqian Shen1 · Guangmin Qian3 © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024 Correction: Journal of Real-Time Image Processing (2024) 21:75 https://doi.org/10.1007/s11554-024-01455-3 Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. In this article necessary to change “Source code is released in https://github/driver-fatigue-detection.git.” to “Source code is released in https://github.com/1066480/driver-fatig ue-detection.git” under the abstract section. The original article has been corrected. The original article can be found online at https://doi.org/10.1007/ s11554-024-01455-3. * Zhenqian Shen 1 Tiangong University, Tianjin 300387, China 2 Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin 300387, China 3 Tianjin Railway Traffic Operation Group Co, Tianjin 300392, China Vol.:(0123456789)  (...truncated)