Open-source toolkit VLMEvalKit released for evaluating multi-modality models

Researchers have developed VLMEvalKit, an open-source toolkit built with PyTorch for evaluating large multi-modality models. The toolkit supports over 450 model configurations and 330 benchmarks, simplifying the process of data preparation, inference, and metric calculation. It also hosts the OpenVLM Leaderboard to track advancements in multi-modality learning research. AI

IMPACT Standardizes evaluation for multi-modality models, potentially accelerating research and development in the field.

RANK_REASON The item describes an open-source toolkit and associated leaderboard for evaluating multi-modality models, presented as a research artifact on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• OpenVLM Leaderboard
• PyTorch
• ScienceCast
• VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models
• Xinyu Fang

• product
• paper

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →