Datasets:
image imagewidth (px) 1.51k 4.65k | objects dict | calibrated bool 2
classes | cultivar stringclasses 4
values | bbch_stage int32 69 83 | capture_date stringdate 2020-06-05 00:00:00 2020-08-13 00:00:00 |
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End of preview. Expand in Data Studio
Wgrape Unipd Bunch Detection
wGrapeUNIPD-DL contains lateral-view images of white grape varieties in vertical-shoot-positioned vineyards at six Italian locations and several phenological (BBCH) stages, taken 1.5-3 m from the canopy, with every grape bunch boxed in YOLO format. The Zenodo record holds 343 of them (the article reports 373): 241 size- and colour-calibrated with a Macbeth chart and 102 uncalibrated images taken before bunches formed, which have no boxes; calibration status, cultivar and BBCH stage from the folder names are kept as columns. The dataset contains 343 images with 1,955 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sozzi2022wgrapeunipd,
title={wGrapeUNIPD-DL: An open dataset for white grape bunch detection},
author={Sozzi, Marco and Cantalamessa, Silvia and Cogato, Alessia and Kayad, Ahmed and Marinello, Francesco},
journal={Data in Brief},
volume={43},
pages={108466},
year={2022},
publisher={Elsevier}
}
The dataset itself can be cited as:
Sozzi, M., Cantalamessa, S., Cogato, A., Kayad, A., & Marinello, F. (2022). wGrapeUNIPD-DL: an open dataset for white grape bunch detection [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6757555
This dataset was reformatted from its original format to match HuggingFace standards.
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