Learning Objectives:
1. Understand what Synthetic Image Data Generation is.
2. Learn the use cases and importance of SIDG in fields like robotics, autonomous vehicles, and AI training.
In this series, each article will follow a consistent structure:
Lesson
Practical Exercise (referred to as “Daily Challenge”)
Learning Objectives:
- Understand roles in SIDG: Learn key roles like Synthetic Image Data Engineer, Technical Artist, Simulation Engineer, and Computer Vision Specialist.
- Identify transferable skills: See why Technical Artists fit well into SIDG.
- Recognize key responsibilities: Know what each role contributes to synthetic data creation and use.
- Learn basic computer vision: Understand its importance for Technical Artists.
- Prepare for job readiness: Research job listings and responsibilities to align your skills.
By the end of today's lesson you should :
know enough about each tool and workflow to decide which one to use in building your portfolio.
These are the lesson objectives. In regards to synthetic image data generation :
Learn how and when to use Blender
Learn how and when to use Unity Engine
Learn how and when to use Unreal Engine
Learn how and when to use Nvidia Isaac Sim.
Let's begin then.
Under development- COMING OUT SOON
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Under development- COMING OUT SOON
Under development- COMING OUT SOON
Under development- COMING OUT SOON
Under development- COMING OUT SOON