Real-Time Crowd Management System for Railway Stations
-
Updated
Oct 20, 2024 - HTML
Real-Time Crowd Management System for Railway Stations
Tuberculosis Vision Scan is an AI-driven tool for detecting tuberculosis from chest X-rays using a fine-tuned VGG16 model with 93.5% accuracy. The project integrates MLOps tools like MLflow, DVC, and AWS CI/CD for efficient model tracking and deployment. A Flask web app allows users to upload X-ray images and receive real-time TB detection results
This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.
Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!
Converts Sign Language to Text/Speech
Sign Language Detection & Translation Web App
Attendance registration system using facial recognition.
ImageEditingApp is a Flask-based web application for 𝗯𝗮𝘀𝗶𝗰 𝗶𝗺𝗮𝗴𝗲 𝗲𝗱𝗶𝘁𝗶𝗻𝗴. Upload, process, and manipulate images with ease using our intuitive interface ... ❤️
Application that can be used to retrieve images from database by compare user face
Tutorial Series (60 hour course): Essentials of computer vision
Build an object detection model to detect ships in ports using satellite imagery.
A creative use of machine learning is shown here to play the famous game "Chrome Dinosaur" using your finger movements.
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟
Real-time social distancing detector and people counter for camera recordings, via PyTorch, OpenCV and YOLOv5 👥
A Computer Vision python program that detects motion using a webcam and records when it began, and when it ended. It then stores these recordings in a csv file.
Add a description, image, and links to the cv2 topic page so that developers can more easily learn about it.
To associate your repository with the cv2 topic, visit your repo's landing page and select "manage topics."