bhartikopal Goto Github PK

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

𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐅𝐚𝐜𝐞 𝐦𝐚𝐬𝐤 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐝𝐞𝐞𝐩𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐥𝐞𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 💻🔔

face-mask-detector-mobilevnet

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.