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  • Image Segmentation

Image Segmentation Courses

Image segmentation courses can help you learn pixel classification, boundary detection, and object recognition techniques. You can build skills in using convolutional neural networks, understanding image preprocessing methods, and implementing segmentation algorithms. Many courses introduce tools like TensorFlow and OpenCV, that support applying these skills in projects involving computer vision and artificial intelligence.


Popular Image Segmentation Courses and Certifications


  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Visión artificial contemporánea

    Skills you'll gain: Computer Vision, Vision Transformer (ViT), Convolutional Neural Networks, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Autoencoders, Unsupervised Learning, 3D Assets

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Identify Horses or Humans with TensorFlow and Vertex AI

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Google Cloud Platform, Model Deployment, Computer Vision, Data Preprocessing, Applied Machine Learning, Data Collection, Software Visualization

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

    Skills you'll gain: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Image Captioning with TensorFlow & Streamlit

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Model Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Feature Engineering, Data Preprocessing, Deep Learning, Applied Machine Learning, Application Development, Recurrent Neural Networks (RNNs), Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Segmenting the Market with Jagdish Sheth

    Skills you'll gain: Target Market, Strategic Marketing, Product Marketing, Marketing Strategy and Techniques, Product Strategy, Market Research, Growth Strategies, Market Analysis, Marketing Psychology, Revenue Management, Promotional Strategies, Competitive Analysis, Consumer Behaviour

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Create Image Captioning Models

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Tensorflow, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Project: Software Engineering and Image Manipulation

    Skills you'll gain: Unified Modeling Language, Software Design, Image Analysis, Python Programming, Jupyter, Software Engineering, Application Programming Interface (API), Object Oriented Programming (OOP), Computer Vision, Integrated Development Environments, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    547 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images of Cats and Dogs using Transfer Learning

    Skills you'll gain: Tensorflow, Transfer Learning, Image Analysis, Keras (Neural Network Library), Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular image segmentation courses

  • Visión artificial contemporánea: Universidad de los Andes
  • Identify Horses or Humans with TensorFlow and Vertex AI: Google Cloud
  • Image Classification on Autopilot with AWS AutoGluon: Coursera
  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • Image Captioning with TensorFlow & Streamlit: EDUCBA
  • Segmenting the Market with Jagdish Sheth: Kennesaw State University
  • Create Image Captioning Models: Google Cloud
  • Python Project: Software Engineering and Image Manipulation: University of Michigan
  • Introduction to Convolutions with TensorFlow: Google Cloud

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