Complexity of Use cases, approaches, models
We move into an era where computer vision solves complex real life problems. For instance security, traffic management, and object recognition in the industrial facilities. Therefore should evolve image annotation tools and practices. We ensure our labeling tool now allows multi-tool system for hybrid annotation required (segmenting, bboxes and classifier), layering attributes associated with polygons or boxes, allowing descriptive meta data, ranking system and image-level (i.e. combining categorization or image classification) with object-level annotation.
In this use case of waste sorting, there is a requirement to assign polygons to each type – organic, residual, bag, paper, plastic, as well we assess with a secondary attribute visibility, and provide a descriptive meta data to an image assessing efforts of household and respective suggestions.