AI in Automotive - #504 - Dr Jason Corso, Co-founder and Chief Scientist, Voxel51

There is a lot of video in the world. Nearly 90% of global internet traffic is video. Getting value out of video data, however, is challenging, time-consuming and expensive. How do you identify the right subset of video data to train your models, and how do you reimagine the annotation process to accelerate vision AI application development are just some of the big questions that are looking for answers.

On this episode of the AI in Automotive Podcast, I am delighted to be joined by Dr Jason Corso, Co-founder and Chief Scientist at Voxel51. Voxel51 develops tools that help AI teams curate, visualise and refine visual datasets to build better-performing computer vision models. In today’s episode, Jason breaks down the steps in taking a vision AI application from concept to production, the important role of annotation within the process, and how the company’s tools reimagine annotation. 

In this super enlightening conversation, we cover a range of topics - from how Voxel51 started, to the value it delivers, and what is coming down the road for the company. Listen to the episode for a surprise detour into the world of sports broadcasting and what computer vision has to do with it.

I hope you enjoy my chat with Dr Jason Corso, and if you do, please do spread the word by sharing the AI in Automotive Podcast with a friend or colleague. 

#ai #automotive #mobility #technology #podcast #computervision #visionAI

https://www.ai-in-automotive.com/aiia/504/jasoncorso

Annotation is dead: https://medium.com/@jasoncorso/annotation-is-dead-1e37259f1714

AI in Automotive Podcast