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Airborne Object Tracking Dataset Dataset for Machine Learning

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pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/airborne-object-tracking-dataset")

fs.listdir("s3://airborne-obj-detection-challenge-training")
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Description

Airborne Object Tracking (AOT) is a collection of 4,943 flight sequences of around 120 seconds each, collected at 10 Hz in diverse conditions. There are 5.9M+ images and 3.3M+ 2D annotations of airborne objects in the sequences. There are 3,306,350 frames without labels as they contain no airborne objects. For images with labels, there are on average 1.3 labels per image. All airborne objects in the dataset are labelled.

Additional information

Update frequency

Not updated

License

Community Data License Agreement – Permissive, Version 1.0 https://cdla.dev/permissive-1-0/

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