19 Mar 2022 – Team Status Report

We mostly worked individually on our own responsibilities for the project this week:

  • Samuel: Fixed issues with neural network training, completed training on Fruits360 dataset with ResNet50 architecture. Currently working on finding better datasets to train on.
  • Oliver: Brought API online onto a live server connected to the Internet, and continued to implement API endpoints needed as part of the plan. We now have enough API endpoints to begin the integration process meaningfully
  • Alex: Worked with Samuel on researching new datasets and potential fixes for the dataset, as well as running the neural network training and fixing server issues.

 

For next week, we will also be continuing to work on our individual parts but will begin integration through our APIs, especially with the front end.

  • Samuel: Will work on finding (or creating our own) and training network on new datasets. Will work on background segmentation (as needed for new datasets or white background).
  • Oliver: Will work on integrating the back-end with the front-end created by Alex, so that Alex can be unblocked on that front and can continue work on the front-end. Will also continue with remaining back-end API endpoints
  • Alex: Working with Oliver on integrating the front-end and back-end

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