CNN2D---IMAGES---Transfer-learning

Using 3 different images form to chose the best way to recognize moviments.

Model	Mean Accuracy (%)	AUC	Training Time (min)
CNN Model (created)	99,829	0,998	9,806
VGG 16	97,027	0,989	15,070
VGG 19	94,917	0,969	32,372
RESNET 50	96,922	0,979	28,835
INCEPTION V3	97,783	0,973	29,552

Created by Wyctor Fogos da Rocha- 29/05/2021.

Some references:

• M. Ribeiro and J. Samatelo. "Traffic Flow Classification using a Video Descriptor and a Convolutional Neural Network", in Anais do XV Workshop de Visão Computacional, São Bernardo do Campo, 2019, pp. 137-142, doi: https://doi.org/10.5753/wvc.2019.7642.
• Dynamic Gesture Recognition by Using CNNs and star RGB: a Temporal Information Condensation. doi:https://doi.org/10.1016/j.neucom.2020.03.038