Training data for the Singapore Butterfly Classifier used in the XPRIZE Rainforest semifinals

Training data based on Lepidoptera observation data from Singapore with images attached from the Global Biodiversity Index Facility (GBIF) (de Vries H, Lemmens M (2023). Observation.org, Nature data from around the World. Observation.org. Occurrence dataset https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; Nature data from around the World, Observation.org, https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; iNaturalist Research-grade Observations, iNaturalist.org, https://doi.org/10.15468/ab3s5x; Earth Guardians Weekly Feed, Occurrence dataset https://doi.org/10.15468/slqqt8) Annotations were produced with a generic butterfly detector trained on annotations available at https://www.kaggle.com/datasets/mistag/arthropod-taxonomy-orders-object-detection-dataset, accessed on 2023-05-08). Annotations were produced with the generic butterfly detector while labels assigned using the specied ID assigned in the GBIF observation. Training data contains 230 species. These were the ones that contained species ID in relevant columns, contained 50+ images, and received predictions with the generic butterfly detector. Dataset: Observation.org, Nature data from around the World <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: iNaturalist Research-grade Observations <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: Earth Guardians Weekly Feed <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode