--- # For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- --- task_categories: - image-classification language: - en tags: - biology - environment size_categories: - 1K This dataset is comprised of 9549 observations that were posted on the iNaturalist app. iNaturalist is a website and app that 'aims to provide a crowd sourced identification system' for plants, insects, and animals. ## Dataset Details For each of the 9549 observations included in this dataset, there is information about the quality ('quality_grade') of the observation and associated photo(s), a species name ('species_guess') along with a common name ('common_name'), taxonomic information ('taxon'), the number of times that kind of species appears in all of iNaturalist's data ('total_obs'), when the observation was made ('time_of_observation'), where the observation was made ('location'), and a link to the associated wikipedia page for the corresponding species ('wikipedia'). Each observation also includes a link to the associated photo and an embedding of the photo, created with the ResNet50 embedding model. - **Curated by:** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] - **Repository:** [More Information Needed] - **API:** Data originally accessed via the iNaturalist API at https://api.inaturalist.org ## Uses ### Direct Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Dataset Structure [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? [More Information Needed] [More Information Needed] #### Personal and Sensitive Information [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.