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!
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.
MMStar
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag |
Landing.ai
| Launched | 2017-12-15 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | |
| Tag |
MMStar Rank/Visit
| Global Rank | |
| Country | |
| Month Visit |
Top 5 Countries
Traffic Sources
Landing.ai Rank/Visit
| Global Rank | 1048931 |
| Country | United States |
| Month Visit | 28192 |
Top 5 Countries
34.48%
10.1%
5.94%
5.61%
4.6%
United States
Chile
India
United Kingdom
Canada
Traffic Sources
46.15%
38.34%
6.75%
5.34%
3.31%
0.11%
Direct
Search
Social
Referrals
Mail
Paid Referrals
What are some alternatives?
When comparing MMStar and Landing.ai, 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.
OpenMMLab - OpenMMLab is an open-source platform that focuses on computer vision research. It offers a codebase