Guzmán-Torres, J.A.; DomÃnguez-Mota, F.J.; Tinoco-Guerrero, G.; GarcÃa-Chiquito, M.C.; Tinoco-RuÃz, J.G.
Efficacy Evaluation of You Only Learn One Representation (YOLOR) Algorithm in Detecting, Tracking, and Counting Vehicular Traffic in Real-World Scenarios, the Case of Morelia México: An Artificial Intelligence Approach. AI 2024, 5, 1594-1613.
https://doi.org/10.3390/ai5030077
AMA Style
Guzmán-Torres JA, DomÃnguez-Mota FJ, Tinoco-Guerrero G, GarcÃa-Chiquito MC, Tinoco-RuÃz JG.
Efficacy Evaluation of You Only Learn One Representation (YOLOR) Algorithm in Detecting, Tracking, and Counting Vehicular Traffic in Real-World Scenarios, the Case of Morelia México: An Artificial Intelligence Approach. AI. 2024; 5(3):1594-1613.
https://doi.org/10.3390/ai5030077
Chicago/Turabian Style
Guzmán-Torres, José A., Francisco J. DomÃnguez-Mota, Gerardo Tinoco-Guerrero, Maybelin C. GarcÃa-Chiquito, and José G. Tinoco-RuÃz.
2024. "Efficacy Evaluation of You Only Learn One Representation (YOLOR) Algorithm in Detecting, Tracking, and Counting Vehicular Traffic in Real-World Scenarios, the Case of Morelia México: An Artificial Intelligence Approach" AI 5, no. 3: 1594-1613.
https://doi.org/10.3390/ai5030077
APA Style
Guzmán-Torres, J. A., DomÃnguez-Mota, F. J., Tinoco-Guerrero, G., GarcÃa-Chiquito, M. C., & Tinoco-RuÃz, J. G.
(2024). Efficacy Evaluation of You Only Learn One Representation (YOLOR) Algorithm in Detecting, Tracking, and Counting Vehicular Traffic in Real-World Scenarios, the Case of Morelia México: An Artificial Intelligence Approach. AI, 5(3), 1594-1613.
https://doi.org/10.3390/ai5030077
