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. (2020-06-11)
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…Géraud Official competition website: https://icdar21-mapseg.github.io/ This is the dataset of the ICDAR 2021 Competition on Historical Map Segmentation (“MapSeg”). The general pipeline involves multiples stages; we list some essential ones here: segment map content: locate the area of the image which contains map content; extract map object from different layers Task 2: “Segment Map Area” This tasks is the equivalent of text area detection for OCR: given the image of a complete map sheet, you need to segment the area which contains map content. We decided to segment each of those regions as closely as possible. Expected output for this task is a binary mask indicating for each pixel whether it belongs to the map area or not.
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