{"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/deep-plant-plant-identification-with","title":"Deep-Plant: Plant Identification with convolutional neural networks","arxiv_id":"1506.08425","date":"2015-06-28","proceeding":null,"authors":["Sue Han Lee","Chee Seng Chan","Paul Wilkin","Paolo Remagnino"],"abstract":"This paper studies convolutional neural networks (CNN) to learn unsupervised\nfeature representations for 44 different plant species, collected at the Royal\nBotanic Gardens, Kew, England. To gain intuition on the chosen features from\nthe CNN model (opposed to a 'black box' solution), a visualisation technique\nbased on the deconvolutional networks (DN) is utilized. It is found that\nvenations of different order have been chosen to uniquely represent each of the\nplant species. Experimental results using these CNN features with different\nclassifiers show consistency and superiority compared to the state-of-the art\nsolutions which rely on hand-crafted features.","url_abs":"http://arxiv.org/abs/1506.08425v1","url_pdf":"http://arxiv.org/pdf/1506.08425v1.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":"deep-plant-plant-identification-with","repo_url":"https://github.com/cs-chan/Deep-Plant/tree/master/PR2017","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}