New release of the mobile image annotation tool
It has been more than a year since the first release of TaQadam image annotation app. It was originally built using an open-source tool at Oxford VGG Image Annotation tool. We are strong advocates for the open source technologies and intend ourselves to become one day a #mobilework community building inclusive societies.
2 million images annotated, 80+ active downloads and users, portfolio of AI training data projects with bounding boxes, polygons and semantic image segmentation
Reflecting on new clients’ requests, Annotators’ continuous feedback, we are happy to release TaQadam 2.0 on a Google Play today!
We are increasingly focusing on semantic image segmentation and polygons, using format conversion for automatic calculation of bounding boxes, allowing companies to variate between classification, object detection and segmentation ML models with just one AI training.
With the new feature we add several meta-tags to a bounding box or polygon, as well as classify the whole image for its ML fit using image-level tag system. Complex project with large number of classes, we are fit for a job!
Gamification, new team roles with “extra” responsibility allowed us to increase performance, team’s understanding of class systems and ensure time management.