{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/large-scale-plant-classification-with-deep","title":"Large-Scale Plant Classification with Deep Neural Networks","arxiv_id":"1706.03736","date":"2017-06-12","proceeding":null,"authors":["Ignacio Heredia"],"abstract":"This paper discusses the potential of applying deep learning techniques for\nplant classification and its usage for citizen science in large-scale\nbiodiversity monitoring. We show that plant classification using near\nstate-of-the-art convolutional network architectures like ResNet50 achieves\nsignificant improvements in accuracy compared to the most widespread plant\nclassification application in test sets composed of thousands of different\nspecies labels. We find that the predictions can be confidently used as a\nbaseline classification in citizen science communities like iNaturalist (or its\nSpanish fork, Natusfera) which in turn can share their data with biodiversity\nportals like GBIF.","url_abs":"http://arxiv.org/abs/1706.03736v1","url_pdf":"http://arxiv.org/pdf/1706.03736v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"large-scale-plant-classification-with-deep","repo_url":"https://github.com/IgnacioHeredia/plant_classification","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"large-scale-plant-classification-with-deep","repo_url":"https://github.com/indigo-dc/conus-classification-theano","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"large-scale-plant-classification-with-deep","repo_url":"https://github.com/indigo-dc/phytoplankton-classification-theano","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"large-scale-plant-classification-with-deep","repo_url":"https://github.com/indigo-dc/seeds-classification-theano","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"large-scale-plant-classification-with-deep","repo_url":"https://github.com/laramaktub/plant-classification-tf-train","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}