Abstract
Ushbu maqola chuqur o'qitish algoritmlari asosida tasvirlardagi obyektlarni tanib olish va ular haqidagi statistik ma'lumotlarni to'playdigin dasturiy vosita ishlab chiqishning konseptual asoslarini o'rganadi. Zamonaviy texnologiyalardan foydalangan holda tasvirlardagi obyektlarni aniqlash, klassifikatsiyalash va statistik ma'lumotlarni avtomatik ravishda to'plash imkoniyatlari tahlil qilingan. Maqolada mavjud chuqur o'qitish algoritmlari, ularning afzalliklari, kamchiliklari hamda real vaqt rejimida obyektlarni aniqlash samaradorligi kabi jihatlar o'rganilgan.
References
Litjens, G., Kooi, T., Bejnordi, B.E., Setio, A.A.A., Ciompi, F., Ghafoorian, M., Laak, J.A.W.M.v.d., Ginneken, B.v. & Sánchez, C.I. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88.
Kovalenko, V.A. (2022). Razrabotka programmnogo obespecheniya dlya obnaruzheniya i sledovaniya za obyektami v videopotoke na osnove algoritmov mashinnogo obucheniya. Vestnik Moskovskogo Universiteta, 4(2), 154-169.
Abdullayev, A.X., Yusupbekov, A.N. & Tashev, K.A. (2020). Transport oqimini monitoring qilish uchun sun'iy intellekt texnologiyalari asosidagi tizimlar. O'zbekiston Respublikasi Fanlar Akademiyasi ma'ruzalari, 3, 45-52.
Zhao, Z.Q., Zheng, P., Xu, S.T. & Wu, X. (2019). Object detection with deep learning: A review. IEEE transactions on neural networks and learning systems, 30(11), 3212-3232.
Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S. & Murphy, K. (2017). Speed/accuracy trade-offs for modern convolutional object detectors. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 7310-7311).
Redmon, J., Divvala, S., Girshick, R. & Farhadi, A. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 779-788).
Ren, S., He, K., Girshick, R. & Sun, J. (2015). Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, 28, 91-99.
Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y. & Berg, A.C. (2016). SSD: Single shot multibox detector. In European conference on computer vision (pp. 21-37). Springer, Cham.
Tan, M., Pang, R. & Le, Q.V. (2020). Efficientdet: Scalable and efficient object detection. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10781-10790).
Ivan, M., Martinez, J. & Bravo, C. (2021). Real-time statistics collection from object detection in smart city environments. Journal of Artificial Intelligence and Smart Systems, 5(2), 112-124.