{"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/performing-image-classification-for-10","title":"Performing Image Classification for 10 Different Monkey Species using CNN","arxiv_id":null,"date":"2020-06-28","proceeding":null,"authors":["Emmanuel Maduwuba","Dharanikota Rajendra Kamal and Kamaljeet Singh Mann. Western University of Ontario"],"abstract":"the main aim of this project is to achieve fine\r\ngrain image classification by applying a suitable machine\r\nlearning architecture to the set of images present in the\r\ndataset. The chosen dataset is taken as a part of the Kaggle\r\ncompetition and is selected from Wikipedia's monkey\r\ncladogram and this dataset contains 10 different species of\r\nmonkeys which are to be classified with the help of a\r\nmachine learning architecture augmented by Image\r\nprocessing. After having brief exposure and using several\r\narchitectures to classify this dataset, the Convolutional\r\nNeural network was found to be the best fit.","url_abs":"https://d1wqtxts1xzle7.cloudfront.net/59558097/Project_final_documentation20190606-52603-1sp6ali.pdf?1559856244=&response-content-disposition=inline%3B+filename%3DProject_final_documentation.pdf&Expires=1601994830&Signature=Zn6Skx93dTC60aMhHG3JL~6NYh38zoXmGZ5hWnnbk7YyX5OtJ~7UMohmYqmeUMcD2uXTypHc9s3wmH9-sKPMuLXQIzCRaezw5R~C7j613Ky8~lZ8vgZVhTdnbVlKqxKVoXleCqOr~eoxcnUmx-uaU1ALfqyr69154z-JM3kM7UwAAw2MeFtmYSR3Xk5eKFwQsdWkJkW5ZrD6FTfNKOdMhNhF93dRc41ufeff0oFR6O7jY7EejNVBk6VxwdxF3ZCAH33t8DYKLL63ICE9vm~QgeuKM~eGGpj5Tkq3FZXVajiGHGkJrEvwe2TISjPWaD3AGExlASEFdO5MP4gGvcyNrQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","url_pdf":"https://d1wqtxts1xzle7.cloudfront.net/59558097/Project_final_documentation20190606-52603-1sp6ali.pdf?1559856244=&response-content-disposition=inline%3B+filename%3DProject_final_documentation.pdf&Expires=1601994830&Signature=Zn6Skx93dTC60aMhHG3JL~6NYh38zoXmGZ5hWnnbk7YyX5OtJ~7UMohmYqmeUMcD2uXTypHc9s3wmH9-sKPMuLXQIzCRaezw5R~C7j613Ky8~lZ8vgZVhTdnbVlKqxKVoXleCqOr~eoxcnUmx-uaU1ALfqyr69154z-JM3kM7UwAAw2MeFtmYSR3Xk5eKFwQsdWkJkW5ZrD6FTfNKOdMhNhF93dRc41ufeff0oFR6O7jY7EejNVBk6VxwdxF3ZCAH33t8DYKLL63ICE9vm~QgeuKM~eGGpj5Tkq3FZXVajiGHGkJrEvwe2TISjPWaD3AGExlASEFdO5MP4gGvcyNrQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","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":[],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"fine-grained-image-classification","task_name":"Fine-Grained Image Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/fine-grained-image-classification-on-10","task":"Fine-Grained Image Classification","dataset":"10 Monkey Species","model":"CNN","rank_in_archive_order":4,"of":4,"metrics":{"Accuracy":"95.00"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}