QRB 2 PRESENTATION

This week, the team presented the QRB 2 to a group of judges. We were given feedback on our project’s current state and any advice that could be helpful for development. These are some of the notes taken during the presentation:

• Was asked by the judges about what happened when we trained the model.
  • We responded by explaining that image data was given just this week and training will begin after all images are downloaded and ready to be pushed into the model.
• Asked about how large the dataset was?
  • We said that 80,000 data points were provided; this is not ideal, but we have our training model set up to update itself, which could help us to increase its accuracy.
• Was asked if it’s possible to have a jersey that’s set as a standard and we just add things to it.
  • We said this is not possible because all the jerseys aren’t equally alike.
• Asked if we have spent money on OpenAI?
  • We haven’t because using stable diffusion is fit to better depict clothing items compared to OpenAI.

Overall, the presentation went well, and we got very good feedback.

Next week, we will be reviewing our QRB 2 results and discussing more about developing the FDR.