Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57
Published:Oct 23, 2017 20:24
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode focused on the challenges of gathering training data for autonomous vehicles. The interview with Daryn Nakhuda, CEO of MightyAI, explores various aspects of this process, including human-powered insights, annotation techniques, and semantic segmentation. The article highlights the importance of training data in the development of self-driving cars, a prominent topic in the fields of machine learning and artificial intelligence. The episode aims to provide a deeper understanding of the complexities involved in creating effective training datasets.
Key Takeaways
- •The podcast episode focuses on the challenges of collecting training data for autonomous vehicles.
- •The interview features Daryn Nakhuda, CEO of MightyAI.
- •Key topics include human-powered insights, annotation, and semantic segmentation.
Reference
“Daryn and I discuss the many challenges of collecting training data for autonomous vehicles, along with some thoughts on human-powered insights and annotation, semantic segmentation, and a ton more great stuff.”