• Deepak Jangid

Face occlusion generally describes circumstances in which a person's face is partially veiled or obscured, frequently by another bodily part or item. Face occlusion, in the context of computer vision and augmented reality, is a major difficulty that entails precisely identifying and handling scenarios in which objects in a scene conceal parts of a person's face. In this paper, two well-known convolutional neural network architectures MobileNet and InceptionNet, are used to effectively classify face occlusions, even when such faces are partially covered by different kinds of occlusions

Raspberry Pi, Face occlusion, Deep learning, Transfer learning

"CLASSIFICATION OF OCCLUDED FACE IMAGES THROUGH DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c239-c242, May-2024, Available :http://www.jetir.org/papers/JETIR2405228.pdf

"CLASSIFICATION OF OCCLUDED FACE IMAGES THROUGH DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc239-c242, May-2024, Available at : http://www.jetir.org/papers/JETIR2405228.pdf