[choppaface]

Right, the dataset is not remotely useful for commercial use. For one thing, the license prohibits such use.

Yes, it's certainly not yet clear if the dataset is large enough to capture useful variance. But unlike kitti or cityscapes, it's large enough to present a computational challenge to most of the machines & budgets in research use today, so there's a pretty good chance it'll help push the state of the art... Perhaps for more than one art. The API code itself has a lot of low-hanging fruit: https://github.com/argoai/argoverse-api

nuscenes is good too https://www.nuscenes.org/

Waymo will have one as well some day https://waymo.com/open/

One attractive aspect of these datasets is that they help open up the question of safety for public discussion. For example, now anybody can throw off-the-shelf object detection at these datasets and see what a realistic F1-score looks like for objects at 30m, 50m, 100m, etc...

In argoverse and nuscenes, you have track labels, so you can furthermore factor the velocity difference into how you weigh the error. Have you ever been hit by an Uber? Even 5mph can cause a lot of damage.