ahmedmbutt/Introduction-to-Computer-Vision-and-Image-Processing
Labs for Introduction to Computer Vision and Image Processing by IBM on Coursera
This project provides practical exercises for understanding how computers 'see' and interpret images. You'll learn to process images, classify objects within them, and even detect specific items like cars. It's designed for anyone new to the field, like students or professionals looking to add computer vision skills to their repertoire.
No commits in the last 6 months.
Use this if you are a student or a professional who wants hands-on practice with fundamental computer vision and image processing techniques.
Not ideal if you are an experienced computer vision engineer looking for advanced research or production-ready solutions.
Stars
8
Forks
11
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 09, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ahmedmbutt/Introduction-to-Computer-Vision-and-Image-Processing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
opencv/opencv
Open Source Computer Vision Library
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
kornia/kornia
🐍 Geometric Computer Vision Library for Spatial AI
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
ermig1979/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX ...