Complete Guide to Creating COCO Datasets

Build your own image datasets automatically with Python

Created by: Adam Kelly Immersive Limit
3D DEVELOPMENT + DEEP LEARNING

What Will I Learn?

• 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

Requirements

• Take an Intro to Deep Learning course first (perhaps from another Udemy course!)
• Have basic to intermediate Python programming skills
• Have a physical or cloud computer with GPU/CUDA compute
• Recommended: Prior experience with Anaconda & Jupyter notebooks

Target audience

• Developers who have completed a Deep Learning course and want to solve real-world image recognition problems
• Developers looking for a deep walkthrough of creating a COCO dataset and training a Mask R-CNN