ML Projects
Adaptive vehicle classification & Deployment in low-end devices
Adaptive vehicle classification & Deployment in low-end devices
This project’s goal is to detect vehicles on Bangladeshi roads. I used a dataset created based on the Bangladesh vehicle for this. To train the vehicle dataset in this project, I used the Yolov5 model. The vehicle dataset includes 16 classes and 6000 label images. After training, I export the model to TensorRT and deploy it on Jetson Nano devices
Facemask detection using deep learning model
Facemask detection using deep learning model
While doing Machine Learning course I developed this projects. This application can detect face masks using a web camera. The deep learning model was trained using the Fastai libraries with the ResNet-50 model. The dataset is scraped from the internet and for deployment, it uses OpenCV libraries.