EvalAI is an open-source platform developed by CloudCV to facilitate the evaluation and comparison of machine learning (ML) and artificial intelligence (AI) algorithms on a large scale. It allows users to host and participate in a variety of AI challenges, offering features such as custom evaluation protocols, remote evaluation capabilities, and support for evaluating algorithms in reinforcement learning environments. Additional functionalities include command-line interface (CLI) support for accessibility, and optimized worker nodes for faster evaluation processes. EvalAI standardizes evaluation metrics, dataset splits, and maintains public leaderboards, thus promoting reproducibility and comparability in AI research. With over 400 hosted challenges, 40,000 users, and 430,000 submissions, EvalAI aims to make AI research more accessible and easier to navigate for researchers, students, and developers.
• evaluation inside rl environments
• custom evaluation protocol
• remote evaluation
• cli support
• portability
• faster evaluation
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