Identify the defects in pipes. This city wanted a technology partner to annotate the sewer images at scale so that they could train a model to accurately detect the issues with the sewer pipes in the city.

Video and Image Annotations – The inspected images of anomalies in the sewers are annotated using bounding boxes and polygonal annotations.

Defect Categorization – These annotations are further classified under various domains pertaining to the faults in the sewer pipes like cracks, fractures,roots etc.

These annotations help the client build machine learning models which help the teams repair the anomalies of the underground sewer pipes.