Image-Classification:
The objective of this Project is to get you familiarize with the problems of “classification” and “verification” with a popular problem space of “face”.
Expectation at the end:
(i) Familiarity with this (a specific) problem space and the associated nuances.
(ii) some exposure to the visualization of data
(iii) conduct experiments and report results.
(iv) use of graphs/tables to present results.
(v) decide parameters yourself (“best” according to you) and defend your choices.

Features/Representations Used:
(a)PCA/Eigen face
(b) KernelPCA
(c) LDA/Fisher face
(d) Kernel Fisher Face
(e) VGGFace
(f) ResNet features

For further information related to this project, see the pdf SMAI_M_2019_A2_Final.pdf (contains details of all the stuff)