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Our goal is to use active learning to use a COCO pre-trained model and fine-tune it on a dataset for autonomous driving. For this transfer task, we are using the Comma10k dataset. From the repository: "It's 10,000 PNGs of real driving captured from the comma fleet. It's MIT license, no academic-only restrictions or anything."
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You can easily train, embed, and upload a dataset using the lightly Python package. First, we need to install the package. We recommend using pip for this. Make sure you're in a Python3.6+ environment. If you're on Windows you should create a conda environment.
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