computer-vision-project

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Image Processing and Deep Learning algorithm to detect leopards from a live camera feed.

Screen Recorder Project with OpenCV and C++ on Ubuntu

🧠 Explore deep learning through hands-on projects, implementing neural networks like CNNs, RNNs, and Transformers using Python and TensorFlow.

Apple Tree Diseases Predication using Image Classification

ADAS system for Indian road scenarios using YOLOv8-Seg for road segmentation, object detection, and instance segmentation, trained on diverse real-world datasets with superpixel refinement and real-time inference capabilities.

基于计算机视觉（姿态估计）的运动动作识别、规范性评估与实时反馈系统 核心对比：MediaPipe+1D-CNN+GRU vs 传统DTW模板匹配 / 规则驱动方法 应用场景：大众健身、居家体能训练、青少年体测辅导 (桌面端/移动端)

Using YOLOv8s and YOLOv5s network. Model optimization: based on YOLOv8s, the original detection Head is replaced by Dynamic Head, and the FasterNet lightweight module is introduced. Finished ablation experiments.

AI-powered Diabetic Retinopathy detection using ResNet-50, FastAPI, React, Docker and PyTorch. Full stack clinical screening system with Bayesian decision theory and TTA ensemble.

skin disease classification using YOLOv8

An AI-powered face recognition attendance system using Python, OpenCV, and Tkinter automate student attendance with real-time facial detection, image training, and CSV tracking.

Real-time autonomous driving perception system: detection, tracking, segmentation, and TensorRT C++ deployment

VisionCraft is an intelligent photo editing application built with Python, OpenCV, and Streamlit. It provides real-time image enhancement, artistic filters, computer vision effects, and interactive editing tools through a user-friendly web interface.

Real-time hand tracking and gesture visualization using Python, OpenCV, MediaPipe, and NumPy with dynamic neon particle effects.

YOLOv8 Nano + EigenCAM for interpretable road damage detection in intelligent transportation systems.

CNN-based vehicle number plate detection and recognition system using TensorFlow, OpenCV, and Flask API for real-time image inference and automated license plate identification

🌿 Projet de Computer Vision basé sur un dataset de feuilles malades : analyse exploratoire, data augmentation, transformations d’images et classification CNN. Pipeline complet en Python, tests, visualisations, reproductibilité et modèle >90% accuracy.

Android lane detection application using OpenCV and computer vision techniques.

Real-time browser-based invisibility cloak using Streamlit, OpenCV, NumPy, and WebRTC. Capture a background, detect a selected cloak color, and replace it with the captured scene in real time.