a cash register revolution application that uses machine learning to detect retail product objects.
-
Updated
Jun 12, 2024 - HTML
a cash register revolution application that uses machine learning to detect retail product objects.
A FYP project for degree. It is a web app that provide automatic guitar chord recognition by using visual data.
Welcome to our AI-driven image editing website! With our intuitive tools and advanced object detection, editing your photos is a breeze. Whether you're a beginner or a pro, effortlessly enhance, manipulate, and create stunning visuals. Experience the future of editing today!
Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.
Object detection webUI and model for dental xray analysis
A university project exploring the possibilities of image processing using YOLO v8 with RealSense Depth cameras.
AI-driven traffic sign detection and recognition system using YOLOv8 and a diverse dataset including Hong Kong traffic signs, designed for enhancing road safety and efficient traffic management.
Real-time Fire Detection using YOLOv8
Automatically detect incidents using live CCTV feeds with our advanced solution. Utilizes YOLOv8 for object detection, LSTM Autoencoder & One Class SVM for anomaly detection, and Flask for real-time alerts & reports.
"Number of People in a Room" is a computer vision project that utilizes the Flask framework, OpenCV library, and YOLO object detection to count and monitor people in a space. It aids in crowd management, occupancy monitoring, and optimizing resource allocation for improved safety and efficiency.
My graduation project on the topic of building, deploying a web application to recognize and extract text from prescriptions (Website demo deprecated)
The project is a Flask-based application that uses YOLOv8 for detecting humans and vehicles in forest areas via webcam feeds, aiming to assist forest authorities in addressing trespassing incidents efficiently.
Easy-to-use finetuned YOLOv8 models.
Add a description, image, and links to the yolov8 topic page so that developers can more easily learn about it.
To associate your repository with the yolov8 topic, visit your repo's landing page and select "manage topics."