Easy-to-use finetuned YOLOv8 models.
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Updated
Feb 27, 2023 - HTML
Easy-to-use finetuned YOLOv8 models.
Object detection webUI and model for dental xray analysis
Real-time Fire Detection using YOLOv8
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.
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.
My graduation project on the topic of building, deploying a web application to recognize and extract text from prescriptions (Website demo deprecated)
"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.
A university project exploring the possibilities of image processing using YOLO v8 with RealSense Depth cameras.
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!
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.
Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.
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