Attempts were made to improve the accuracy of the detection of wool using computer vision but the average recall remained around ~40% on the validation dataset. We suspect this is largely due to the lack of original samples for wool (only 90 in our dataset) in addition to the similarity of the texture of wool and cotton. Despite the use of data augmentation and regularization, the accuracy of wool detection remained largely the same. Thus, wool is being dropped from the computer vision aspect of the project for the time being and denim is being added as a replacement. Denim was selected as the third material due to it having the largest number of samples in the dataset (behind polyester and cotton).
Identifybre 