This is a repository for my Bachelor's graduation project in Deep Learning/Computer Vision.
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Updated
Dec 15, 2022 - Jupyter Notebook
This is a repository for my Bachelor's graduation project in Deep Learning/Computer Vision.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Object Detection Paper Review and Implementation
This project is a multi-AI app that features 🔢 digit recognition, 🕵️ object detection, and ⚡ real-time detection using Flutter and TensorFlow Lite.
A Real-time object detection model (YOLOv5) for tracking people and checking if the distance between them meets the COVID-19 guidelines.
This repo composed of summaries of 4 YOLO paper which are the papers that milestones for real-time object detection video
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟
This project uses YOLOv5 architecture for creating guns and knifes real time detection
A comprehensive video analysis and heatmap generation tool based on Ultralytics YOLOv8.
AI-driven waste management for a smarter, cleaner, and more sustainable future 🌱🤖♻️
Applied SSD integrated with MobileNet model for object (sign gestures) detection and recognition and the model is trained using Transfer Learning, with the aim to develop a web app for real-time ASL recognition from user input & then to generate text in English.
Real time object detection and detection storage.
This project aims to develop a Flutter application capable of real-time object detection using the YOLOv8 model. We will outline the steps for training the model and integrating it into a Flutter application.
Training models with tiny YOLOv2 and convert it to Tensorflow Lite.
Real-time object detection system utilizing the SSD MobileNet V2 FPNLite 320x320 model for high-speed, efficient recognition.
Smart assistant for the blind.
Birds detection and species recognition
Web-based OpenCV project; detects the objects in real time with good accuracy. Objects will appear live on web page in a squared area.
Realtime Face Mask verification using Deep Convolutional Neural Networks and Haar Cascade
This project builds a real-time object detection system using a Raspberry Pi and a camera. It captures live video, processes it with a TensorFlow Lite model to detect specific objects, and saves important events as video files.
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