The project was to review pre-populated labels of different object classes for ensuring training dataset quality used for machine learning. The aim was to check for annotation discrepancies and deviations from the set standards as prescribed by the client and make necessary corrections to enhance the quality of the annotated datasets.

Project Category

Computer Vision, Data Annotation, Image Annotation, Automobile

Achievement

The validated data used as inputs for deep learning, are enabling advanced AI models to acquire human like intelligence and deliver performance results in a wide range of industries with the desired quality and consistency levels.