Object Detection Recognition and Tracking Course – Pluralsight, May 2024

Course Description:

Object Detection Recognition and Tracking Course, published in May 2024, is an intermediate-level introduction to building image classifiers with TensorFlow. Though this course is based on improving the analysis and interpretation of visual data — such as images and videos — using neural networks, they are useful throughout machine learning practice. This course is good for developers who want additional computer vision skills, specifically in object detection, recognition, and tracking.

In the 39-minute course, we will cover the fundamentals of neural networks and some of their application in image classification. Participants will work on different image classifiers and get hands-on experience with precision and accuracy. Next, the course explores the architecture and use cases of three different types of neural networks — each recommendation has its own pros and cons — and allows learners to choose the best model for their object detection tasks.

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