Inria, LIRMM, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France; CIRAD, AMAP; IMAG, Univ Montpellier, Inria, CNRS, Montpellier, France; LIRMM, AMIS, UPVM, Univ Montpellier, CNRS, Montpellier
dataset;ambiguity;top-k;set-valued classification;long tail;plant
Pl@ntNet-300K: a new plant image dataset for the evaluation of set-valued classifiers