Browse and submit evaluation results for AI benchmarks
Monitor application health
statistics analysis for linear regression
Try the Hugging Face API through the playground
Transfer GitHub repositories to Hugging Face Spaces
World warming land sites
Select and analyze data subsets
Display CLIP benchmark results for inference performance
Submit evaluations for speaker tagging and view leaderboard
https://huggingface.co/spaces/VIDraft/mouse-webgen
What happened in open-source AI this year, and what’s next?
Search and save datasets generated with a LLM in real time
Label data for machine learning models
Leaderboard is a comprehensive data visualization tool designed to help users browse and submit evaluation results for AI benchmarks. It serves as a platform for researchers and developers to compare and analyze performance metrics of various AI models, enabling informed decision-making and fostering innovation.
What types of AI models can I find on Leaderboard?
Leaderboard supports a wide range of AI models, including but not limited to natural language processing, computer vision, and reinforcement learning models.
Can I filter results by specific datasets?
Yes, Leaderboard allows users to filter results by dataset, enabling more targeted comparisons and analyses.
How often is the Leaderboard updated?
The Leaderboard is updated in real-time as new benchmark results are submitted and verified.