This repository contains a diverse range of computer vision projects that utilize state-of-the-art models and libraries. Each project is structured with clean and well-documented code, making it easy to understand and replicate the results.

All Computer Vision Projects - Beginner to Advanced Topics opencv computer-vision deep-learning pillow python3 artificial-intelligence object-detection object-tracking object-recognition

This is a collection of foundational projects for anyone diving into computer vision. Explore some of computer vision core concepts and hands-on projects through challenges. Challenges are organized into levels: Level 0 - Zero/beginner: Getting Started with Basics; Level 1 - Apprentice/intermediate: Hands-on Computer Vision with Deep Learning

May 19, 2022 · You can find many innovative computer vision projects on GitHub with source code available. Omdena runs AI Projects with organizations that want to get started with AI, solve a real-world problem, or build deployable solutions within two months.

Sep 7, 2023 · I've open sourced a project I made for making my life easier while working with Apple's Vision framework. You can check it out at GitHub…

Apr 26, 2021 · In this article, we saw many GitHub repositories for computer vision projects to inspire you. We hope it will help you to create your own computer vision projects to amaze others and enhance your learning and resume.

In this blog, we will explore ten essential GitHub repositories that offer comprehensive learning resources, research papers, guides, popular tools, tutorials, projects, and datasets to improve your computer vision skills. 1. Awesome Computer Vision. Link: jbhuang0604/awesome-computer-vision.

Dec 19, 2024 · Computer Vision Projects that contains topics about Spatial Pyramid Matching for scene classification, Lucas-Kanade for object tracking, and planar homographies for AR application and panorama implementation.

The following projects were completed as part of the course requirements of CS 6476 Computer Vision under Prof. James Hays at Georgia Tech in Fall 2017:

Apr 14, 2025 · From basic object detection and face recognition to image captioning, VQA, and anomaly detection, these ten projects span a wide range of computer vision challenges. Each highlights a different facet of the field—be it interpreting visual data at the pixel level, extracting meaningful text, or pairing visuals with natural language ...