Justin’s Status Report for 10/5

I spent time in the beginning of the week working on the design presentation, which went well, and we got some useful feedback. I have landed on a suitable dataset for our project: https://www.kaggle.com/datasets/arkadiyhacks/drinking-waste-classification. This dataset not only contains thousands of images to train on, but the images show the images as they might appear when captured by our camera (ie. the item is photographed from above), rather than a stock image. Unfortunately, I was out of Pittsburgh in the second half of the week to attend a wedding, so I was not able work with the Jetson and camera (which arrived after I left), so next week I am hoping to hook up the camera to the Jetson, load YOLO (off the shelf), and test out that setup. I will also start setting things up to train YOLO with a custom dataset. Luckily YOLO has many resources online, I’ve already watched some videos, and it should hopefully be easy to set up. I will also be working with my team on the design review. Being away from Pittsburgh has delayed my progress beyond what I initially hoped, and I anticipate the design report and midterms to take time next week, so I am also planning to work on this project over fall break, bringing the camera and Jetson back home with me if necessary (I should not need any other hardware to work on the CV).