The days of a single labeler laboriously (and slowly) identifying all elements and objects within an image…are over. Our patent pending, multiple-image processing technology breaks down a single image into hundreds of micro-tasks, prompting multiple Tasqers to label individual parts of an image simultaneously.
We use advanced Machine Learning capabilities to optimize and accelerate the entire process, from tagging to validation, to annotation, and more. Every object is reviewed separately by multiple Tasqers for deeper understanding and validation of correct data labeling.
The result: Fast, scalable, accurate datasets.
Non-biased simultaneous labeling. Consistent improvement of data. Higher quality datasets.