Inria, LIRMM, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France, Institut Universitaire de France (IUF); CIRAD, AMAP; LIRMM, AMIS, UPVM, Univ Montpellier, CNRS, Montpellier
dataset;ambiguity;top-k;set-valued classification;long tail;plant recognition;image classification
Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution