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EvalAI is built by a team of open source enthusiasts working at - CloudCV. CloudCV aims to make AI research - reproducible and easily accessible. We want to reduce the barrier to entry for doing research - and make it easier for researchers, students and developers to develop and use state-of-the-art - algorithms as a service.
-With EvalAI, we want to standardize the process of - evaluating different methods on a dataset and make it simple to host a competition. - Comparing a new method with other existing approaches is an essential component of - research and this process has traditionally been affected by difference in evaluation - metric implementation, different splits of the dataset or minor modifications in the - algorithm. This makes it extremely hard to reproduce numbers from published papers - and reliably compare your method with other existing approaches. By building EvalAI, we - hope to make this easier by standardizing the dataset splits, evaluation metrics and by - maintaining a public leaderboard of hosted challenges.
-EvalAI is built by a team of open source enthusiasts working at + CloudCV. CloudCV aims to make AI research + reproducible and easily accessible. We want to reduce the barrier to entry for doing research + and make it easier for researchers, students and developers to develop and use state-of-the-art + algorithms as a service.
+With EvalAI, we want to standardize the process of + evaluating different methods on a dataset and make it simple to host a competition. + Comparing a new method with other existing approaches is an essential component of + research and this process has traditionally been affected by difference in evaluation + metric implementation, different splits of the dataset or minor modifications in the + algorithm. This makes it extremely hard to reproduce numbers from published papers + and reliably compare your method with other existing approaches. By building EvalAI, we + hope to make this easier by standardizing the dataset splits, evaluation metrics and by + maintaining a public leaderboard of hosted challenges.
+