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Introduction to Computer Vision

Course

Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks

Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks

Advanced

4 weeks

Real-world Projects

Completion Certificate

Last Updated January 3, 2024

Skills you'll learn:
Object detection • PyTorch • Image classification • Data augmentation
Prerequisites:
Object-oriented programming basics • Intermediate Python • Neural network basics

Course Lessons

Lesson 1

Welcome to Computer Vision

Welcome to the Computer Vision Nanodegree program!

Lesson 2

Image Representation & Classification

Learn how images are represented numerically and implement image processing techniques, such as color masking and binary classification.

Lesson 3

Convolutional Filters and Edge Detection

Learn about frequency in images and implement your own image filters for detecting edges and shapes in an image. Use a computer vision library to perform face detection.

Lesson 4

Types of Features & Image Segmentation

Program a corner detector and learn techniques, like k-means clustering, for segmenting an image into unique parts.

Lesson 5

Feature Vectors

Learn how to describe objects and images using feature vectors.

Lesson 6

CNN Layers and Feature Visualization

Define and train your own convolution neural network for clothing recognition. Use feature visualization techniques to see what a network has learned.

Lesson 7 • Project

Project: Facial Keypoint Detection

Apply your knowledge of image processing and deep learning to create a CNN for facial keypoint (eyes, mouth, nose, etc.) detection.

Taught By The Best

Photo of Cezanne Camacho

Cezanne Camacho

Curriculum Lead

Cezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she's applied computer vision and deep learning to medical diagnostic applications.

Photo of Alexis Cook

Alexis Cook

Curriculum Lead

Alexis is an applied mathematician with a Masters in Computer Science from Brown University and a Masters in Applied Mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.

Photo of Luis Serrano

Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

The Udacity Difference

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

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Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

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Month-To-Month

4 Months

Average time to complete a Nanodegree program

*Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

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Introduction to Computer Vision

Month-To-Month


  • Unlimited access to our top-rated courses
  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

  • All the same great benefits in our month-to-month plan
  • Most cost-effective way to acquire a new set of skills
Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.