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Earlham CS/DS Portfolios

Weekly update:

After finish the annotated, I narrowed down to 1 idea to write the literature review. All 3 of my ideas related to machine learning, however I would choose the idea that I feel excited the most and feel motivate the most which is Idea 1: Mask Face Detection. Covid-19 is a really hot topic right … Read more

Weekly update: Annotated Bibliography (18 Annotated)

Idea 1: Masked Face Detection: Introduction: Due to the fact that the virus that causes COVID-19 is spread mainly from person to person through respiratory droplets produced when an infected person coughs, sneezes, or talks, it is important that people should wear masks in public places. However, it would be difficult to keep track of … Read more

Weekly update: Annotated Bibliography (First versions)

Idea 1: Masked Face Detection: Citation 1: Detecting Masked Faces in the Wild with LLE-CNNs S. Ge, J. Li, Q. Ye and Z. Luo, “Detecting Masked Faces in the Wild with LLE-CNNs,” 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017, pp. 426-434, doi: 10.1109/CVPR.2017.53. Link: https://openaccess.thecvf.com/content_cvpr_2017/papers/Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf?fbclid=IwAR2UcTzeJsOAI6wPzdlkuMG4NaHMc-b1Gwmf-zl5hD3ueIEfBH-3HOgpMIE Includes the MAFA dataset … Read more

Pitch ideas

Idea 1: Masked Face Detection:Introduction: Due to the fact that the virus that causes COVID-19 is spread mainly from person to person through respiratory droplets produced when an infected person coughs, sneezes, or talks, it is important that people should wear masks in public places. However, it would be difficult to keep track of a … Read more