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We introduce a novel dataset consisting of images depicting pink eggs thathave been identified as Pomacea canaliculata eggs, accompanied by correspondingbounding box annotations. The purpose of this dataset is to aid researchers inthe analysis of the spread of Pomacea canaliculata species by utilizing deeplearning techniques, as well as supporting other investigative pursuits thatrequire visual data pertaining to the eggs of Pomacea canaliculata. It is worthnoting, however, that the identity of the eggs in question is not definitivelyestablished, as other species within the same taxonomic family have beenobserved to lay similar-looking eggs in regions of the Americas. Therefore, acrucial prerequisite to any decision regarding the elimination of these eggswould be to establish with certainty whether they are exclusively attributableto invasive Pomacea canaliculata or if other species are also involved. Thedataset is available at https://www.kaggle.com/datasets/deeshenzhen/pinkeggs

Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions