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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


  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    ★ 4.8 (164) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Classification Algorithms, Algorithms, Machine Learning Algorithms

    ★ 4.8 (54) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Machine Learning Methods, Graph Theory, Machine Learning Algorithms

    ★ 4.6 (35) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Evaluate Vision Errors: Identify Failure Patterns

    Skills you'll gain: Image Analysis, Computer Vision, Model Evaluation, Analysis, Failure Mode And Effects Analysis, Root Cause Analysis, Scientific Visualization, Data Visualization, Correlation Analysis, Quality Assurance, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Data Processing, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Digital Signal Processing, Semiconductors, Algorithms

    ★ 4.7 (160) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Institut Mines-Télécom

    Traitement d'images : segmentation et caractérisation

    Skills you'll gain: Image Analysis, Computer Vision, Image Quality, Data Processing, Digital Signal Processing, Systems Of Measurement, Data Analysis, Computer Programming, Medical Imaging, Python Programming, Histogram, Algorithms, Machine Learning Algorithms, Applied Mathematics

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

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

    ★ 4.6 (49) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    GenAI for Fraud Analysts: Improving Detection Efficiency

    Skills you'll gain: Anomaly Detection, Fraud detection, Data Visualization, Generative AI, Risk Management, Risk Mitigation, ChatGPT, Data Synthesis, Compliance Management, AI Integrations, Test Data, AI Workflows, Data Pipelines, Automation

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…567…195

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

  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • Features and Boundaries: Columbia University
  • Visual Perception: Columbia University
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Evaluate Vision Errors: Identify Failure Patterns: Coursera
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Camera and Imaging: Columbia University
  • Traitement d'images : segmentation et caractérisation: Institut Mines-Télécom

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