Computer Vision

Discovery - which situations is the system most impacted by?

Training - what is needed to better train the mdl to handle unexpected inputs?

Deployment - what options are there to deploy the model and boost performance without significantly increasing data collection?

Advai's library identifies the challenging scenarios that will most affect the image recognition system, and is able to to provide insight into how to improve the model.

Data augmentation and model retraining was implemented t boost performance for weak classes

Key features that distinguish the classes are deployed for critical components in the field, to boost the vision system performance.

By understanding the poor performing classes, data collection was prioritised to get maximum gain for adversarial conditions.

The client was able to promote the model to production faster as they could increase the base level of performance under restrictive conditions.

As an added boost, critical assets were able to have key features amplified so that the vision system would further improve baseline performance.