ColANet: A UAV Collision Avoidance Dataset

ColANet

Dataset for drones

ColANet, a dataset of collisions that aims to provide
a base for training new Machine Learning algorithms
that handle the problem of collisions with high efficiency
and robustness. We show that using this dataset
is easy to construct new neural network models and test them.

If you use this dataset or scripts to handle your video dataset, please cite:

@InProceedings{colanet2020,author="Dário Pedro, Andrá Mora, João Carvalho, Fábio Azevedo and José Fonseca",
title="ColANet: A UAV Collision Avoidance Dataset", year="2020",
publisher="Springer International Publishing", pages="53--62",
isbn="978-3-030-45124-0}
"More information in github!
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