Extend the round 8 promotional 100k traffic dataset with annotations for licence plates and faces to enable the creation and evaluation of automated anonymization algorithms.
Our image collection, annotation, and publishing process follows a waterfall-like structure. Although we have 50% of the R8 grant carried over, we are realizing the expenses for this batch of data now (Round 8), and amortizing the payment/work over the next 1-2 months. The following tasks will be carried over from round 8: [ ] Annotate the images in ~300 classes (~1 month). Annotation can now start since data collection was completed. This will cost 47.5% of the remainder grant amount, and should be delivered by October to November. [ ] Publish the dataset in a pool for the initial price of 1 Ocean (~1 month). Publishing will take place after annotation is completed. This will cost a final 2.5% of the grant available.