ML Vision

This repository contains projects related to computer vision and machine learning techniques for image analysis and processing.

Table of Contents

• Introduction
• Technologies
• Features
• Getting Started
• Contributing
• License

Introduction

The ML Vision repository showcases various projects that leverage machine learning and computer vision techniques for image analysis and processing tasks. It provides examples and implementations of state-of-the-art algorithms and models used in the field of computer vision.

Technologies

The following technologies are used in this project:

• Python
• TensorFlow
• Ngrok

Features

This repository includes projects with the following features:

• Object Detection: Implements algorithms and models for detecting objects within images.
• Image Classification: Demonstrates techniques for classifying images into different categories.
• Image Segmentation: Includes projects related to segmenting images into meaningful region.

Getting Started

To get started with this project, clone the repository:

   git clone https://github.com/st-mn/ml-vision.git

Contributing

Contributions are welcome! If you have any ideas or improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.