MMStar
MMStar, a benchmark test set for evaluating large-scale multimodal capabilities of visual language models. Discover potential issues in your model's performance and evaluate its multimodal abilities across multiple tasks with MMStar. Try it now!
OpenMMLab
OpenMMLab is an open-source platform that focuses on computer vision research. It offers a codebase
MMStar
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag |
OpenMMLab
| Launched | 2020-06-04 |
| Pricing Model | Free |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,Gzip |
| Tag | MLOps |
MMStar Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
OpenMMLab Rank/Visit
| Global Rank | 1385764 |
| Country | China |
| Month Visit | 28379 |
Top 5 Countries
61.52%
6.24%
5.63%
5.24%
2.5%
China
United States
Hong Kong
Taiwan, Province of China
Singapore
Traffic Sources
56.4%
25.14%
18.46%
Direct
Referrals
Search
What are some alternatives?
When comparing MMStar and OpenMMLab, you can also consider the following products
Mini-Gemini - Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.
vLLM - A high-throughput and memory-efficient inference and serving engine for LLMs
Yi-VL-34B - Yi Visual Language (Yi-VL) model is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images.
Landing.ai - Create a computer vision AI project with a trusted company. Solve problems with Landing AI's cloud-based computer vision software platform LandingLens.