Using Transfer Learning and TensorFlow to Classify Different Dog Breeds (Machine Learning and Data Science course)

This face mask detector is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient, making it easier to deploy the model to embedded systems.

This repository contains source code of Tomato Disease prediction using mobilenetv2

Developed lightweight MobileNetV2 face mask detection model for identifying a person wearing a mask or not .

Face Mask Detector - Open CV & DNN

Detect Malaria from an input Image,Implemented Using Fast.AI

Object Detection in Twilight

A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!

An application to monitor social distancing in real-time using deep learning and computer vision

OpenVINO 訓練後優化工具 Post-Training Optimization Tool (POT) 測試用迷你ImageNet 2012版驗證集影像、標註及標籤檔。（僅供測試請勿移作它用）

Discriminate wind turbines from grounds

object detection using mobilenetV2 SSDlite model

A binary classifier to test whether an image belongs to the "hot dog" class or the "not hot dog" class, as seen on HBO's Silicon Valley.

Алгоритмы Data Science и их практическая реализация на Python

Real-time Face Mask Detection using MobileNetV2 and OpenCV

This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.

Implementation of Mobilenet V2 for binary image classification of dogs and cats using Keras and TensorFlow. 📚 Trained on a dataset of dogs and cats images, with customizable scripts for training, testing, and prediction on new data. 📊🛠️

Solutions to the Advanced CNN course by the Lazy Programmer and all CNN Models I've worked on

Repository to demonstrate the use of transfer learning with TFHub