Despite being a massive piece of the bigger AI puzzle, computer vision doesn’t always get the recognition it deserves. Robb and Josh welcome Dr. Jason Corso, Professor of Robotics at University of Michigan for an In Action episode that explores the complexity and power of machines that can see.

Jason is the Co-Founder and Chief Science Officer of Voxel51, which is backed by Bessemer Venture Partners, and in this episode he demonstrates open-source tools available for working with massive datasets that include images and videos. The trio also discuss the border implication of adding the context that vision can afford to multi-agent systems.

Explore Dr. Jason Corso’s Voxel51 platform: https://voxel51.com/

FiftyOne Open Source: Voxel51's open source toolkit for building high-quality datasets and computer vision models.
FiftyOne Teams: Voxel51’s commercial offering based on open source FiftyOne.
People can try FiftyOne at try.fiftyone.ai.
Voxel51 on Github: https://github.com/voxel51/fiftyone
A course on Coursera that Voxel51 created called "Hands-on Data Centric Visual AI" — https://www.coursera.org/learn/hands-on-data-centric-visual-ai

Learn about orchestrating AI agents for your team:

AI agent landing page with the whitepaper: https://onereach.ai/ai-agents/?utm_source=soundcloud+&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1

Learn about the only tools for orchestrating AI agents that are named a leader by all major analyst firmsAI agent landing page (dev): https://aiagents.onereach.ai/?utm_source=soundcloud&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1

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S4E15 Computer Vision In Action

Invisible Machines podcast by UX Magazine