FACIAL RECOGNITION WITH ARTIFICIAL INTELLIGENCE USING THE ROBOFLOW PLATFORM
FACIAL RECOGNITION WITH ARTIFICIAL INTELLIGENCE USING THE ROBOFLOW PLATFORM
Keywords:
Roboflow, YOLO, Facial recognition
Abstract
This article aims to provide an overview of real-time facial recognition and discuss best practices for training real-time detection models using the Roboflow platform. Different real-time object detection algorithms and how to select the appropriate algorithm for training models will be discussed. Additionally, examples of training datasets and real-time object detection models will be presented, as well as case studies of real-world applications. Finally, ethical and legal considerations when implementing real-time object detection systems and how the Roboflow platform can help ensure data privacy and security will be discussed.
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References
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GIRSHICK, Ross. DONAHUE, Jeff. DARRELL, Trevor. MALIK, Jitendra. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p. 580-587, 2014.
LECUN, Yann. BENGIO, Yoshua. HINTON, Geoffrey. Deep learning. Nature, v. 521, n. 7553, p. 436-444, 2015.
LECUN, Yann. et al. Gradient-based learning applied to document recognition. Proceedings of the IEEE, v. 86, n. 11, p. 2278-2324, 1998.
NELSON, Joseph. Roboflow Blog, 28 de Outubro de 2020. Disponível em
MATERIALS, Course. (s.d.). Convolutional neural networks. Disponível em: http://cs231n.github.io/convolutional-networks/. Acesso em: 22 mai. 2023.
TAIGMAN, Yaniv. MING, Yang. RANZATO, Marc’ Aurelio. WOLF, Lior. DeepFace: Closing the Gap to Human-Level Performance in Face Verification. 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 2014, pp. 1701-1708, doi: 10.1109/CVPR.2014.220.
REDMON, Joseph. DIVVALA, Santosh. GIRSHICK, Ross. FARHADI, Ali. You only look once: Unified, real-time object detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p. 779-788, 2016.
ROSS, Beverley; QUILTER, Ben. Faces of discrimination: gender, race and facial recognition technology. Disponível em: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3185980. Acesso em: 5 abr. 2023.
ZHANG, Cha; ZHANG, Zhengyou. A survey of recent advances in face detection. 2010.
ZHANG, Kaipeng. ZHANG, Zhanpeng. LI, Zhifeng. QIAO, Yu. Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Processing Letters, v. 23, n. 10, p. 1499-1503, 2016.
Published
2023-12-15
Section
Artigos
