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  • Object Detection

Object Detection Courses

Object detection courses can help you learn image processing, feature extraction, and classification techniques. You can build skills in implementing algorithms like YOLO and SSD, as well as understanding metrics for evaluating model performance. Many courses introduce tools such as TensorFlow and OpenCV, showing how these technologies facilitate the development of AI applications that identify and locate objects in images and videos.

Popular Object Detection Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Machine Learning for Cyber Threat & Anomaly Detection

    Skills you'll gain: Fraud detection, Threat Detection, Malware Protection, Cyber Security Assessment, AI Security, Network Security, Machine Learning, Machine Learning Algorithms, Security Management, Data Preprocessing, Unsupervised Learning, Feature Engineering, Exploitation techniques, Deep Learning, Classification Algorithms, Analytical Skills

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Fine-tuning, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    4.7
    Rating, 4.7 out of 5 stars
    ·
    241 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Cybersecurity Prevention and Detection

    Skills you'll gain: Cyber Threat Intelligence, Cyber Threat Hunting, Threat Detection, Vulnerability Assessments, Incident Response, Security Information and Event Management (SIEM), Threat Management, Cybersecurity, Intrusion Detection and Prevention, IT Security Architecture, Cloud Security, Security Architecture Review, Cyber Risk, Cyber Security Policies, Data Security, Network Security, Cyber Security Strategy, Personally Identifiable Information, Malware Protection, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Matlab, Anomaly Detection, Geospatial Information and Technology, Machine Learning Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, File I/O, Automation, Anomaly Detection, Engineering Practices, Data Preprocessing, File Management, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Tensorflow, Dataflow, Image Quality, Application Deployment, Technical Documentation, Deep Learning, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

1234…206

In summary, here are 10 of our most popular object detection courses

  • Machine Learning for Cyber Threat & Anomaly Detection: Macquarie University
  • Aerial Image Segmentation with PyTorch : Coursera
  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University
  • First Principles of Computer Vision: Columbia University
  • Cybersecurity Prevention and Detection: Pearson
  • Introduction to Computer Vision: MathWorks
  • Introduction to Computer Vision: University of Colorado Boulder
  • Automating Image Processing: MathWorks
  • Machine Learning for Computer Vision: MathWorks

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