Berkeley Deep Drive

A few weeks ago, the University of California-Berkeley released DeepDrive, which appears to be the largest open dataset ever compiled for self-driving cars.

This is super-exciting, because annotated data is one of the major roadblocks to developing self-driving cars.

Prior to DeepDrive, the state-of-the-art dataset was KITTI, from the Karlsruhe Institute of Technology in Germany.

KITTI has been tremendously important for self-driving cars, and DeepDrive will build on that. For comparison, whereas KITTI has 7,500 images annotated with 3D bounding boxes, DeepDrive has 100,000. And while KITTI has 400 images for semantic segmentation, DeepDrive has 10,000.

It’s really astounding what Berkeley has released, and I’m excited to see the models people are able to build with this.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s