Caffe Implementation of Google's MobileNets (v1 and v2)

The official PyTorch implementation for paper "Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction"

Covid19 Face Mask Detector

Android pet detector with tensorflow models

The TasterAI is a neural network model for food categorization. It consists of a database of 15 types of food.

Implementing and comparing ResNet50 and MobileNetV2 transfer learning models using the MNIST:HAM10000 image dataset. Resulting classification accuracy of ~90%.

Classification for flowers Images using Deep learning [ Convolutional Neural Network] and using Transfer learning [ Mobilnet ] .

This project is a work of fiction written from the perspective of a 2020 researcher traveling back in time to mid 2013 to share some 2020 xNNbased application ideas; references to credit the actual inventors of the various ideas is provided at the end

Обнаружие маски на лице в реальном времени

This application detects a speed sign board on the roads live. It warns the driver when a 30 zone board is detected.

The Project is about detecting Face Mask using MobileNetv2 and a Caffee Model for detecting a face.