Global Certificate Course in Object Detection and Tracking
-- ViewingNowObject Detection and Tracking is a crucial skill in computer vision. This Global Certificate Course provides practical training in identifying and tracking objects within images and videos.
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CourseDetails
- Introduction to Object Detection and Tracking
- Deep Learning for Object Detection: Convolutional Neural Networks (CNNs)
- Object Detection Architectures: YOLO, Faster R-CNN, SSD
- Object Tracking Algorithms: Kalman Filtering, DeepSORT
- Feature Extraction and Representation for Object Detection and Tracking
- Performance Evaluation Metrics for Object Detection and Tracking: Precision, Recall, F1-score, mAP
- Advanced Topics in Object Detection: Handling Occlusion and Motion Blur
- Applications of Object Detection and Tracking: Autonomous Driving, Robotics, Surveillance
CareerPath
Career Role Description Computer Vision Engineer (Object Detection & Tracking) Develops and implements advanced object detection and tracking algorithms for various applications, showcasing expertise in deep learning and image processing.
High industry demand.
AI/ML Engineer (Object Detection Specialist) Focuses on designing, training, and deploying machine learning models for object detection tasks, integrating these models into real-world systems.
Strong future prospects.
Robotics Engineer (Perception Systems) Applies object detection and tracking to enable robots to perceive and interact with their environment, contributing to advancements in autonomous systems.
Growing field.
Data Scientist (Computer Vision) Analyzes large datasets of images and videos, leveraging object detection techniques to extract meaningful insights and build predictive models.
Data analysis skills essential.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotRegulatedAuthorized
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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