Build your own image datasets automatically with Python
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
How COCO annotations work and how to parse them with Python
How to go beyond the original 90 categories of the COCO dataset
How to automatically generate a huge synthetic COCO dataset with instance annotations
How to train a Mask R-CNN to detect your own custom object categories in real photos
This comprehensive Complete Guide to Creating COCO Datasets curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Complete Guide to Creating COCO Datasets course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Adam Kelly Immersive Limit
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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