Udemy - AI Dog Tracking Through Computer Vision Techniques

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Free Download Udemy - AI Dog Tracking Through Computer Vision Techniques

Published 5/2025
Created by William Farokhzad
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All | Genre: eLearning | Language: English | Duration: 74 Lectures ( 7h 9m ) | Size: 2.41 GB
Master Python, OpenCV, and Roboflow to build powerful computer vision projects - from image processing to YOLO AI models
What you'll learn
Master Python from Beginner to Advanced
Implement Image Processing Projects Step-by-Step
Label Images Effectively Using Roboflow
Train YOLO Models for Object Detection
Deep Learning Techniques for Computer Vision
Advanced Image Processing with OpenCV
Build Real-Time Detection Applications
Requirements
Basic Computer Skills - No Prior Coding Required
A PC or Laptop with Internet Access
Python Installed (Setup Guidance Provided)
Interest in Computer Vision and AI
Description
Imagine being able to track your dog's every move with AI-powered precision. Whether you're a curious pet owner, a tech enthusiast, or someone looking to dive into the world of computer vision, this course has everything you need. Learn how to build smart tracking systems using Python, OpenCV, and YOLO - and see how these skills can go beyond pets to real-world applications like security and surveillance. Ready to turn your camera into a powerful tracking tool? Let's get started.We kick off with Python basics, quickly progressing to advanced concepts, ensuring you're fully prepared for more complex tasks. You'll then dive deep into OpenCV - the go-to library for image processing. From filtering and contour detection to edge detection and object tracking, you'll master the art of analyzing visual data.Next, we elevate your skills with Roboflow, a cutting-edge platform for image labeling and dataset management. You'll learn how to label images effectively, organize datasets, and set up robust training data for AI models.In the final stage, you'll implement advanced deep learning techniques, training YOLO models to detect and track objects in real-time. Imagine building AI systems that can detect people, pets, or products - and apply those skills to real-world projects.By the end of this course, you'll have a portfolio of practical projects showcasing your expertise in computer vision, making you highly valuable in the rapidly evolving tech landscape.Enroll now and get ahead of the curve in computer vision - the skill every AI developer needs in 2025!
Who this course is for
Beginners in Python
Aspiring Data Scientists
Students
Beginners
AI Developers
Computer Vision Enthusiasts
Aspiring Data Scientists
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AI Dog Tracking Through Computer Vision Techniques
Published 5/2025
Duration: 7h 10m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.86 GB
Genre: eLearning | Language: English​

Master Python, OpenCV, and Roboflow to build powerful computer vision projects - from image processing to YOLO AI models

What you'll learn
- Master Python from Beginner to Advanced
- Implement Image Processing Projects Step-by-Step
- Label Images Effectively Using Roboflow
- Train YOLO Models for Object Detection
- Deep Learning Techniques for Computer Vision
- Advanced Image Processing with OpenCV
- Build Real-Time Detection Applications

Requirements
- Basic Computer Skills - No Prior Coding Required
- A PC or Laptop with Internet Access
- Python Installed (Setup Guidance Provided)
- Interest in Computer Vision and AI

Description
Imagine being able totrack your dog's every movewithAI-powered precision. Whether you're acurious pet owner, atech enthusiast, or someone looking to dive into the world ofcomputer vision, this course has everything you need. Learn how tobuild smart tracking systemsusingPython, OpenCV, and YOLO- and see how these skills can go beyond pets toreal-world applicationslikesecurity and surveillance. Ready to turn your camera into apowerful tracking tool?Let's get started.

We kick off withPython basics, quickly progressing toadvanced concepts, ensuring you're fully prepared for more complex tasks. You'll then dive deep intoOpenCV - the go-to library for image processing. Fromfiltering and contour detectiontoedge detection and object tracking, you'll master the art of analyzing visual data.

Next, we elevate your skills withRoboflow, acutting-edge platform for image labeling and dataset management. You'll learn how tolabel images effectively, organize datasets, and set uprobust training datafor AI models.

In the final stage, you'll implementadvanced deep learning techniques, trainingYOLO modelstodetect and track objects in real-time. Imagine building AI systems that candetect people, pets, or products- and apply those skills toreal-world projects.

By the end of this course, you'll have aportfolio of practical projectsshowcasing your expertise incomputer vision, making youhighly valuable in the rapidly evolving tech landscape.

Enroll nowand get ahead of the curve incomputer vision - the skill every AI developer needs in 2025!

Who this course is for:
- Beginners in Python
- Aspiring Data Scientists
- Students
- Beginners
- AI Developers
- Computer Vision Enthusiasts
- Aspiring Data Scientists
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