I helped retrain the image classifier on our extended dataset with some of our own images. Plastic bottles seem to be pretty accurate now, which is good because capacitive sensors were unable to be used to detect plastic bottles. I also tried to improve the accuracy of the sensor classifier, but may have made some readings more inconsistent than before, since the readings are fluctuating a lot, especially for metals. The glass sensors are fairly consistent and accurate, though. I also updated the training and validation datasets for the materials that more images were taken of (since the retrained model only had additional images for certain categories, not all of them).
My progress is on schedule.
In the next week, I’d like to help retrain the image classifier on the dataset with all of the images Tate added of the different materials we brought.