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.

Due to the nature of the camera, a spectral band registration is required and performed with a registration method based on previous work (with a sub-pixel registration accuracy). The alignment is refined in two steps, with (i) a rough estimation of the affine correction and (ii) a perspective correction for the refinement and accuracy through the detection and matching of key points. The result shows that GFTT algorithm is the best key-point detector considering the 570 nm band as spectral reference for the registration. After the registration, all spectral images are cropped to 1200* 800 px and concatenated to channel-wise.