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Multi-Spectral Leaf Segmentation For Crop/Weed Identification

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DataCite Commons2025-05-16 更新2025-04-16 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.15454/JMKP9S
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This dataset were acquired with the Airphen (Hyphen, Avignon, France) six-band multi-spectral camera configured using the 450/570/675/710/730/850 nm bands with a 10 nm FWHM. And acquired on the site of INRAe in Montoldre (Allier, France, at 46°20'30.3"N 3°26'03.6"E) within the framework of the “RoSE challenge” founded by the French National Research Agency (ANR). Images contains bean, with various natural weeds (yarrows, amaranth, geranium, plantago, etc) and sowed ones (mustards, goosefoots, mayweed and ryegrass) with very distinct characteristics in terms of illumination (shadow, morning, evening, full sun, cloudy, rain, ...) The ground truth is defined for each images with polygons around leafs boundaries: In addition, each polygons are labeled into crop or weed.
提供机构:
Recherche Data Gouv
创建时间:
2021-06-23
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