UpsideDownWash Computer Vision Project

LFT

Updated 2 months ago

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Classes (13)
boat
cargo
cargo-box
cargo-slat
concrete
excavator helicopter
p-hold
p-point
p_wide
payload
person vehicle
Description

This dataset for object detection features footage of sling-load operations in Norway. Labelled objects include: vehicles, boats, humans, payload, helicopters and various cargo objects. The latest update puts alls samples into the training folder, so you can choose a custom validation split.

The frames are extracted from videos by the YouTube channel: @UpsideDownWash, a big thanks to Marcus for sharing his lessons with others.

Annotations by Marvin Brenner Resolution: 1920x1080, scaled to 960x960 objects: person, cargo, vehicle, boat, helicopter, payload

If you use the dataset for research, please cite: M. Brenner and P. Stütz, "UDW: A Dataset For Automated Monitoring Of Cargo-Handling During Sling-Load Operations," 2023 Seventh IEEE International Conference on Robotic Computing (IRC), Laguna Hills, CA, USA, 2023, pp. 223-230, doi: 10.1109/IRC59093.2023.00044.

@INPROCEEDINGS{10473558, author={Brenner, Marvin and Stütz, Peter}, booktitle={2023 Seventh IEEE International Conference on Robotic Computing (IRC)}, title={UDW: A Dataset For Automated Monitoring Of Cargo-Handling During Sling-Load Operations}, year={2023}, volume={}, number={}, pages={223-230}, keywords={Uncertainty;Helicopters;Transportation;Object detection;Autonomous aerial vehicles;Transformers;Safety;Unmanned aerial vehicle;unmanned helicopter;helicopter;behavior analysis;object detection;dataset;drone}, doi={10.1109/IRC59093.2023.00044}}

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            upsidedownwash_dataset,
                            title = { UpsideDownWash Dataset },
                            type = { Open Source Dataset },
                            author = { LFT },
                            howpublished = { \url{ https://universe.roboflow.com/lft/upsidedownwash } },
                            url = { https://universe.roboflow.com/lft/upsidedownwash },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }