We have labeled 683 images and 2015 bounding boxes in total for now. We used 80% of the dataset which are 546 images for training and the rest of 20% which are 137 images for evaluation, and all images in the dataset have the same resolution at 1920*1080. Table.I summaries the statistics of the dataset, the category of floating leaves region has the most bounding box labels and the category of floating weeds region has the largest average size of bounding boxes.

DOI Link: 
10.21227/69c1-w583
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Dataset Files

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[1] Liyi Lei, "Floating Objects Dataset", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/69c1-w583. Accessed: Mar. 15, 2025.
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doi = {10.21227/69c1-w583},
url = {http://dx.doi.org/10.21227/69c1-w583},
author = {Liyi Lei },
publisher = {IEEE Dataport},
title = {Floating Objects Dataset},
year = {2019} }
TY - DATA
T1 - Floating Objects Dataset
AU - Liyi Lei
PY - 2019
PB - IEEE Dataport
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Liyi Lei. (2019). Floating Objects Dataset. IEEE Dataport. http://dx.doi.org/10.21227/69c1-w583
Liyi Lei, 2019. Floating Objects Dataset. Available at: http://dx.doi.org/10.21227/69c1-w583.
Liyi Lei. (2019). "Floating Objects Dataset." Web.
1. Liyi Lei. Floating Objects Dataset [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/69c1-w583
Liyi Lei. "Floating Objects Dataset." doi: 10.21227/69c1-w583