Udemy – Applied Computer Vision: Object Detection and Recognition 2024-10

Udemy – Applied Computer Vision: Object Detection and Recognition 2024-10 Downloadly IRSpace

Super Admin Super Admin
Apr 18, 2025 - 13:33 Updated: Aug 17, 2025 - 17:23
0 0
Udemy – Applied Computer Vision: Object Detection and Recognition 2024-10
Udemy – Applied Computer Vision: Object Detection and Recognition 2024-10

Applied Computer Vision: Object Detection and Recognition course. This course takes you on a comprehensive journey into the world of computer vision and object recognition, from fundamental concepts to implementing and evaluating advanced models. With a hands-on approach, you will be introduced to key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. This course uses popular datasets such as COCO-2017 and CamVid and frameworks such as PyTorch and FiftyOne to enhance your practical skills.

What you will learn in the Applied Computer Vision: Object Detection and Recognition course

  • Understanding the basic principles of image recognition, including image classification, object recognition, and image segmentation (semantic, exemplary, and panoramic).
  • Mastery of the theories and principles underlying the key models of computer vision, the ability to deeply understand their performance and applications
  • Mastering the basics of PyTorch, learning how to build a CNN model and a custom image dataset
  • Implementation of advanced image recognition models and their training in PyTorch

This course is suitable for people who

  • Computer Science Students and Enthusiasts: Undergraduate or graduate students studying computer science, data science, artificial intelligence, or related fields who want to gain hands-on skills in image recognition using PyTorch.
  • Prospective Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a particular interest in image processing and recognition techniques.
  • AI and Machine Learning Enthusiasts: People who are passionate about AI and Machine Learning and want to deepen their understanding of image recognition.
  • Technology Entrepreneurs: Entrepreneurs or innovators seeking to understand image recognition to implement or improve products, especially in technology-driven markets.

Specifications of Applied Computer Vision: Object Detection and Recognition course

  • Publisher:  Udemy
  • mdrs:  Vahid Mirjalili, PhD
  • Training level: beginner to advanced
  • Training duration: 2 hours and 14 minutes
  • Number of courses: 44

Course headings

 Applied Computer Vision: Object Detection and Recognition

Prerequisites of Applied Computer Vision: Object Detection and Recognition course

  • Python Programming Experience: Familiarity with programming, particularly in Python, as it’s the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures.
  • Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting.
  • Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained.

Course images

Applied Computer Vision: Object Detection and Recognition

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download file – 860 MB

File(s) password: www.downloadly.ir

File size

860 MB

Tags: