🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges from CVPR 2024

白荆回廊自动漫巡脚本

Learn OpenCV : C++ and Python Examples

Deploy Computer Vision solutions with a few lines of code.

Dog Breed Classification App

This project adapts Google's Dinosaur Game with Gesture Recognition, enabling players to control the dinosaur's actions via hand movements. It employs TensorFlow and OpenCV for gesture recognition and Python for scripting. This fusion of gaming and technology enhances user engagement, showcasing the innovation achievable through computer vision.

Darknet/YOLO object detection framework

AI for GNU Image Manipulation Program

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

Mobile Application for Evaluating OMR/Bubble Sheet w/ AI

This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

Algorithm to classify between AI and non AI arts

This project's aim is to categorize ecommerce products from their images. MobileNetV2 model fine-tuned with 18K retail product images accross 9 categories. Project deployed with Flask and containerized via docker

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene. [DOCUMENTED]

This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.

A system for recognizing and interpreting hand gestures using machine learning and computer vision techniques.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

ZFNet-for-CIFAR-10-Classification

Unity3D example for measuring luminance on objects. In this prototype enemies stop following a player if they receive to much light.