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Qualitative Data Selection with Active Learning

Github project containing code written and used for our thesis-work. Includes an active learning evaluation pipeline, some object detection models and data processing.

How to install

  1. Ensure you have nvidia drivers installed.

  2. Follow the detailed install information ("not quickstart") on pip installation homepage.

  3. Init conda for shell interaction:

    conda init
  4. (Linux optional if installation fails) Extend temp folder:

    sudo mount -o remount,size=6G /tmp
  5. Use pip to install the following packages:

    pip install matplotlib pandas tqdm tensorflow_datasets tensorflow_addons python_dotenv
  6. ImageNetV2 is currently (05-05-2023) not available through tensorflow_datasets, so it must be downloaded manually. This is hopefully fixed in the future. Download the ImageNetV2 dataset from here

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Research into data selecetion methods for active learning. Master thesis work.

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