Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using
  Deep Learning Embedded Solutions
Di Xu Yang Zhao Xiang Hao Xin Meng
We introduce a novel dataset consisting of images depicting pink eggs that
have been identified as Pomacea canaliculata eggs, accompanied by corresponding
bounding box annotations. The purpose of this dataset is to aid researchers in
the analysis of the spread of Pomacea canaliculata species by utilizing deep
learning techniques, as well as supporting other investigative pursuits that
require visual data pertaining to the eggs of Pomacea canaliculata. It is worth
noting, however, that the identity of the eggs in question is not definitively
established, as other species within the same taxonomic family have been
observed to lay similar-looking eggs in regions of the Americas. Therefore, a
crucial prerequisite to any decision regarding the elimination of these eggs
would be to establish with certainty whether they are exclusively attributable
to invasive Pomacea canaliculata or if other species are also involved. The
dataset is available at https://www.kaggle.com/datasets/deeshenzhen/pinkeggs