As an image operator and annotator, after I image the bottle sample and the classifier returns its predictions, I need to be able to go through the predicted images to label them as false positives and false negatives. This will be used for the lab imaging system, which will be done once a week.
DoD: User should be able to label false positive or false negative for a predicted image if necessary and the machine learning eng should be able to retrieve this data to conduct data analysis, e.g. which images were false positive/negative and annotation information.
Other notes:
placing this on the backlog for now. Let me know if this something we can add in by the end of this week. If it's too much, we'll save it for next sprint. Low priority - kevin
As an image operator and annotator, after I image the bottle sample and the classifier returns its predictions, I need to be able to go through the predicted images to label them as false positives and false negatives. This will be used for the lab imaging system, which will be done once a week.
DoD: User should be able to label false positive or false negative for a predicted image if necessary and the machine learning eng should be able to retrieve this data to conduct data analysis, e.g. which images were false positive/negative and annotation information.
Other notes: