CitDet: A Benchmark Dataset for Citrus Fruit Detection

arXiv:2309.05645v2 Announce Type: replace
Abstract: In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit and accurately estimate yield on trees affected by the Huanglongbing (HLB) disease in orchard environments via imaging. Despite the fact that significant progress has been made in solving the fruit detection problem, the lack of publicly available datasets has complicated direct comparison of results. For instance, citrus detection has long been of interest to the agricultural …

abstract advance art arxiv benchmark cs.cv cs.ro dataset detection disease environments imaging orchard progress state state of the art trees type via