We've talked with some image data providers who are creating datasets for use in machine learning. We're not running any of our own models on image data right n

We've talked with some image data providers who are creating datasets for use in machine learning. We're not running any of our own models on image data right now, so I think the place we can be most useful is in summarizing metadata about the images in cases where the dataset isn't just an image file. For example, if the dataset is images of intersections plus bounding box coordinates of street signs we can tell a prospective consumer what % of images have a street sign in them. If you have a little more metadata (e.g., what time of day the photo is) the stats get much more useful out of the box. I don't understand the data labeling question. How would you imagine us getting involved there?