A simple way to use cookies in Reason (OCaml) on the frontend. 🍪
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Updated
Feb 10, 2019 - HTML
A simple way to use cookies in Reason (OCaml) on the frontend. 🍪
Open DRUWA - Open Deep Realtime User Welcoming Assistant
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟
Multi-Object Tracking and Trajectory Prediction. This repository contains all codes written for SUMMER RESEARCH INTERNSHIP (2021) at AI and Robotics Park (ARTPARK), IISc Bangalore
A Django based web project that uses custom YOLO model, trained on google open images, to detect and count number of fruits(Apple, Mango, Orange, Pomegranate, tomato) in an image.
A repository for an automated system using object detection and machine learning techniques to diagnose wrist abnormalities in children, adolescents, and young adults, providing high accuracy and precision in diagnosis through a user-friendly mobile application.
고속도로 및 로드킬 위험 지역의 영상 데이터를 바탕으로 하여 운전자에게 실시간으로 정보를 제공해주는 지도 기반 종합 페이지 설계 및 개발
Real-time social distancing detector and people counter for camera recordings, via PyTorch, OpenCV and YOLOv5 👥
This project is a web application for detecting skin cancer using object detection techniques. It leverages the YOLOv8 model to identify various types of skin cancer from uploaded images or videos, as well as through live webcam feeds.
👀 A web app for detecting and counting objects in videos using YOLOv8 for detection and ByteTrack for tracking, with customizable regions of interest (ROIs) function.
This project combines microplastic detection through computer vision with a machine learning-based water potability prediction tool, using AdaBoost for accurate results.
Utilize Yolov8 on Jetson Nano for person (head) detection and counting and monitoring it through localhost web
a cash register revolution application that uses machine learning to detect retail product objects.
Implemented a model to detect brain tumors using advanced machine learning techniques. This project showcases the power of AI in transforming healthcare. 🧠🔬
Project developed by Luca Pedercini (@luckeez), Pietro Bologna (@bolognapietro), and Christian Sassi for the Fundamentals of Robotics course.
A Quick Guide to Run Yolo Demo from Docker Container.
A simple Go web app for detecting objects in images using YOLOv11.
VisionSafetyHUB is an AI-powered solution for automated attendance and real-time surveillance. Using Flask, YOLO, and MongoDB, it tracks attendance for over 1,000 employees and detects unauthorized access with 85% accuracy, improving security and operational efficiency.
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