BhartiKopal's repositories
BhartiKopal
Config files for my GitHub profile.
Face-Mask-Detection
Face Mask Detection could be useful to detect the people in crowd who are not wearing masks. This project aims towards training the YOLO v5 neural network form the data containing images with people wearing mask, incorrectly wearing masks or not wearing the mask at all. The trained YOLO v5 network is applied on images, video or on real time video using web cam
face-mask-detector
๐๐๐๐ฅ-๐๐ข๐ฆ๐ ๐ ๐๐๐ ๐ฆ๐๐ฌ๐ค ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐ฎ๐ฌ๐ข๐ง๐ ๐๐๐๐ฉ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐ซ๐ญ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐ป๐
FaceMaskDetection3
Face Mask Detection with ResNets trained with 3 labels: with_mask, without_mask, mask_weared_incorrect.
Malware-Detection-using-Machine-Learning
Malware Detection achieved by using the following Machine Learning algorithms: Decision Tree , Random Forest, Adaboost, XGBoost, Linear Regression, and XGBoost. Dataset has been taken from the internet.
Mask_detection4
Face Mask Detection model made using MobileNetV2. Comparison is done with other models like XceptionNet, ResNet and InceptionNet.