That motivated Waymo to curate the Waymo Open Dataset, which features some 3,000 driving scenes totalling 16.7 hours of video data, 600,000 frames, approximately 25 million 3D bounding boxes and 22 million 2D bounding boxes. Sensors on Waymo’s data-collection autonomous vehicles include five LiDARs, five cameras and an undisclosed number of radars.
Noticed this fine print today that prohibits this dataset from being used by Waymo’s competitors:
Additional Restrictions: To ensure the Dataset is only used for Non-Commercial Purposes, You further agree (a) not to distribute or publish any models trained on or refined using the Dataset, or the weights or biases from such trained models, in whole or in part; and (b) not to use or deploy the Dataset, any models trained on or refined using the Dataset, or the weights or biases from such trained models, in whole or in part, (i) in operation of a vehicle or to assist in the operation of a vehicle, (ii) in any Production Systems, or (iii) for any other primarily commercial purposes.
The current dataset is about one-third to half the size of what was announced at CVPR.
It doesn’t have any map data. I’m looking for their ChauffeurNet dataset for imitation learning.