We teach cars how to see the world
At Figure Eight, we work with Tier 1 and Tier 2 suppliers, OEMs, and more to create high-quality training data for autonomous vehicles and self-driving car projects. We specialize in image annotation, doing everything from simple image classification to bounding boxes to semantic segmentation. So however you’re approaching the problem, we can help.
Bounding boxes are often used to identify the most important classes in a computer vision model and our platform quality controls and baked-in machine learning make sure those boxes are accurate.
Lines and polygons are typically used to mark lane lines and other important road markers for self-driving algorithms. Our line tool can also be used to outline oddly shaped or occluded objects.
More and more, autonomous vehicle algorithms are relying on exacting pixel-level labeling. We support dozens of classes per image and have the capacity to label massive datasets quickly–and most importantly–accurately.
Our video object tracking solution leverages both human and machine intelligence to annotate video up to 100 times faster than human-only approaches.
In just three years, a million minutes of video content will cross global IP networks every second. That’s over 100......Read More
There are plenty of ways to annotate images for computer vision projects. At a high level, you can simply bucket......Read More
From photos of earth from space to cellular microscopy and everything in between, we’ve seen our fair of images come......Read More