Quality assurance

Quality Assurance

Diffrentiators Details


1. Coverage for the object annotation
2. Accuracy of annotation
3. Label correctness
4. Validation for annotation as well as labels


1. Tools customization as per the change in specification
2. Operational functionality for quick ramp up and retaining the constant team for initial kick off of every packet as per availability


Estimation of the accurate throughput based on
• Quality of input
• Accuracy requirement of Annotation
• Depth of annotation based on no. of classes and labels
• Discrete and Continuous nature of the data
• Object density per frame
• Learning Process and Training for specification changes