This is a training dataset for machine learning solutions for detecting fishing events as well as gear type by analyzing AIS vessel tracks.
We use the data as training data for our vessel scoring library, and you might find it usefull to check out that code to get started with the dataset.
The data is stored in numpy format. We recommend exploring the data using the jupyter/numpy/scipy/scikit-learn/tensorflow stack.
Vessel tracks and labels are stored separately, and need to be combined for some applications. This is done using a tool included in the repo:
./prepare.sh
Some of the data is stored using git-lfs,
so you'll need to install git-lfs before cloning the repo. This also means that downloading a zipped tarball
of the directory is unlikely to work.
This dataset is licensed under a Creative Commons Attribution 4.0 International License.
