OpenCompass Multi-modal Leaderboard
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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.
Total Visits: 49.1K
Top Region: CN(77.08%)
Website Views : 120.9K
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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