computer-vision-project

Here are 8 public repositories matching this topic...

ashishpatel26 / 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

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

python nlp data-science machine-learning awesome computer-vision deep-learning artificial-intelligence nlp-projects machine-learning-projects artificial-intelligence-projects computer-vision-project deep-learning-project

Updated Aug 1, 2025

arnav-deep / leopard-detection

Star

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

nlp machine-learning computer-vision deep-learning animal-detection iot-project computer-vision-project

Updated Mar 25, 2023
Python

Tafieslick / 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

Star

🤖 Explore 500 AI, machine learning, deep learning, computer vision, and NLP projects with complete code to enhance your skills and projects.

python nlp data-science machine-learning awesome computer-vision deep-learning nlp-projects machine-learning-projects artificial-intelligence-projects computer-vision-project deep-learning-project

Updated Dec 21, 2025

yunus-temurlenk / Ubuntu-Screen-Recorder-with-OpenCV-and-QML

Star

Screen Recorder Project with OpenCV and C++ on Ubuntu

opencv youtube qt computer-vision ubuntu screen-reader qml image-processing screen-recorder screen-capture screen-saver qtquick opencv-cpp opencv-project opencv-tutorials computer-vision-project computer-vision-lab ubuntu-screen-recorder

Updated Apr 21, 2022
C++

Lab-of-Infinity / Apple-Tree-Diseases-Predication-using-Image-Classification

Star

Apple Tree Diseases Predication using Image Classification

image-processing kaggle-competition image-classification opencv-python cnn-classification plant-pathology-fgvc7 computer-vision-project leaf-disease-classification

Updated Aug 9, 2022
Jupyter Notebook

raveriss / Leaffliction

Star

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.