Mapillary Now Able to Recognize and Label Objects in the Wild

We are happy to announce one of the first new contributions driven by our AI Lab in Graz, Austria: adding a feature that provides semantic segmentations for a select number of object categories. In this blog post we will discuss what this is all about and why we think that this development will be useful for our members and customers. With over 20M Mapillary photos processed so far, we see this advancement as the beginning of our quest to apply broader object recognition globally to all Mapillary photos. Semantic segmentation is a long-studied problem in computer vision and one of the grand challenges to be solved when it comes to automatically understanding the world we live in. Essentially, semantic segmentation allows us to assign a categorical tag (also called a label) to each pixel in an image.