When this Agrotech company saw Tasq.ai’s process of deconstructing large datasets into millions of micro-tasks they knew this was their solution. Tasqers at the peak of the job were labeling millions of images a day. This increased their data labeling speed to be 30x faster but at a level of precise accuracy that they couldn’t achieve from other leading labeling solutions.  By breaking down the dataset into tiny parts of a much larger image, our Tasqers were able to identify if there was a pest present and if so what kind. This allowed our customer to be able to launch multiple models instead of one; identifying the specific type of pests and whether a pest was present. This also accelerated their roadmap by 9 months resulting in a more immediate and accurate way of identifying the problem and resolving it substantially faster. See below for the workflow that the Tasq.ai team implemented.