

Opencompass Multi Modal Leaderboard
Overview :
The OpenCompass multi-modal leaderboard is a real-time platform for evaluating and ranking different multi-modal models (VLMs). It calculates the average score of models based on 8 multi-modal benchmarks and provides detailed performance data. The platform only includes open-source VLMs or publicly available APIs, aiming to help researchers and developers understand the latest advancements and performance of current multi-modal models.
Target Users :
This leaderboard is suitable for researchers, developers, and enterprise decision-makers in the field of artificial intelligence because it provides a transparent and impartial platform to evaluate and compare the performance of different multi-modal models. This helps them choose the most suitable model for their project requirements or understand industry trends and development directions.
Use Cases
Researchers use the leaderboard to compare the performance of different models on specific tasks
Developers leverage leaderboard data to select models suitable for their application scenarios
Enterprise decision-makers refer to the leaderboard to formulate technology procurement or R&D strategies
Features
Provide real-time ranking and performance data for multi-modal models
Support adding new models to VLMEvalKit by creating PRs
Performance evaluation using 8 multi-modal benchmarks
Provide detailed model performance reports including scores for each benchmark
Allow users to obtain help and support by contacting the email address opencompass@pjlab.org.cn
How to Use
Visit the OpenCompass multi-modal leaderboard website
View the current ranking and performance data for multi-modal models
Click on a model of interest to obtain a more detailed performance report
Visit VLMEvalKit and create a PR to add new models if needed
Get further assistance and support through the contact information provided on the leaderboard
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