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Video: How AV/ADAS car companies find rare scenarios (ex: construction zone) using Akridata Data Explorer

A few words about infrastructure and flow.

Images and videos are stored in containers. They can be local on your computer or we support different cloud providers. This is an example of an S3 packet. Those are split into different datasets, and each container can hold multiple datasets – consider them as subfolders with images per project -for example, the VOC, flowers, or satellite images.

Aside from the images and video, we also support metadata, so those are stored in catalogs.
Catalogs contain all of the metadata, such as location, time stamps, and other information about each image. Where you can query them in an SQL manner such as this.

And then, based on the subset of images that you want to look at, you can create visualization job. Going into the visualization job tab, you can see multiple different options per each dataset and you can start exploring them here.