{"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/evalai-towards-better-evaluation-systems-for","title":"EvalAI: Towards Better Evaluation Systems for AI Agents","arxiv_id":"1902.03570","date":"2019-02-10","proceeding":null,"authors":["Deshraj Yadav","Rishabh Jain","Harsh Agrawal","Prithvijit Chattopadhyay","Taranjeet Singh","Akash Jain","Shiv Baran Singh","Stefan Lee","Dhruv Batra"],"abstract":"We introduce EvalAI, an open source platform for evaluating and comparing\nmachine learning (ML) and artificial intelligence algorithms (AI) at scale.\nEvalAI is built to provide a scalable solution to the research community to\nfulfill the critical need of evaluating machine learning models and agents\nacting in an environment against annotations or with a human-in-the-loop. This\nwill help researchers, students, and data scientists to create, collaborate,\nand participate in AI challenges organized around the globe. By simplifying and\nstandardizing the process of benchmarking these models, EvalAI seeks to lower\nthe barrier to entry for participating in the global scientific effort to push\nthe frontiers of machine learning and artificial intelligence, thereby\nincreasing the rate of measurable progress in this domain.","url_abs":"http://arxiv.org/abs/1902.03570v1","url_pdf":"http://arxiv.org/pdf/1902.03570v1.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":"evalai-towards-better-evaluation-systems-for","repo_url":"https://github.com/Cloud-CV/EvalAI","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"evalai-towards-better-evaluation-systems-for","repo_url":"https://github.com/gyutaaa/gyutaekim-2016011728","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"evalai-towards-better-evaluation-systems-for","repo_url":"https://github.com/ironbar/AnimalAI-Olympics","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"benchmarking","task_name":"Benchmarking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.03570","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}