Computer Vision Fundamental and Development Guide

Welcome to the Computer Vision Fundamental and Development Guide repository! This guide is designed to provide you with a foundational understanding of Computer Vision and guide you through its practical applications and development. Whether you're a beginner or looking to deepen your knowledge, this guide covers essential topics to get you started.

Table of Contents

1. Pengenalan Computer Vision
2. Pengaplikasian Computer Vision di Dunia Nyata
3. Pengolahan Citra Dasar
4. Image Classification
5. Object Detection
6. Image Segmentation
7. Convolutional Neural Networks (CNN)
8. Arsitektur CNN
9. Framework yang Digunakan pada Computer Vision

1. Pengenalan Computer Vision

Understand the basics of Computer Vision, its definition, and its applications in various fields.

Resources:

• Introduction to Computer Vision

2. Pengaplikasian Computer Vision di Dunia Nyata

Explore real-world applications of Computer Vision in industries such as healthcare, automotive, retail, and more.

Resources:

• Real-world Applications of Computer Vision

3. Pengolahan Citra Dasar

Learn the basics of image processing, including operations like blurring, sharpening, and filtering.

Resources:

• Introduction to Image Processing

4. Image Classification

Understand the concept of image classification and learn how to categorize images into different classes.

Resources:

• Image Classification Techniques

5. Object Detection

Explore Object Detection, a computer vision task that involves identifying and locating objects in an image or video.

Resources:

• Object Detection Overview

6. Image Segmentation

Learn about image segmentation, the process of dividing an image into meaningful parts or segments.

Resources:

• Image Segmentation Techniques

7. Convolutional Neural Networks (CNN)

Understand the fundamentals of Convolutional Neural Networks (CNNs) and their role in computer vision tasks.

Resources:

• Understanding CNNs

8. Arsitektur CNN

Explore different architectures of Convolutional Neural Networks, such as VGG, ResNet, and Inception.

Resources:

• Popular CNN Architectures

9. Framework yang Digunakan pada Computer Vision

Discover popular frameworks used for Computer Vision development, such as OpenCV, TensorFlow, and PyTorch.

Resources:

• Computer Vision Libraries and Frameworks

Feel free to explore each topic at your own pace. Happy learning and exploring the exciting world of Computer Vision!