Dense 200 (bbox)
Model detects and boxes every object in 200 densely annotated images (109 categories, about 91 boxes each). Box F1 at IoU thresholds.
Mistral's 'Dense 200 (bbox)' is assumed to be this Dense200 set. Eval data is bundled with other Rex-Omni eval sets.
- Made by
- IDEA Research (Rex-Omni)
- Released
- October 2025
- Kind
- Detection and captioning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
-
Qwen 3.8 Max #29 on the capability index
- Last in a launch post
- October 2026
- Last model added
- October 2026
2
Models scored in lab cards
2
Launch posts list it, from 2 labs
Qwen 3.8 Max leads with 87%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 87% | Aug 2026 | Lab model card | |
| 2 | | 42% | Oct 2026 | Lab model card |
Qwen’s own number for Qwen 3.8 Max passed 85% in August 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Source: Labs’ model cards
2 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Oct 6, 2026 | 42 | Grounding: Dense200 (bbox) | |
| Aug 3, 2026 | 87 | Dense200 |
More in Vision
- MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
- MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. GPT-5.6 Sol 84.6%
- CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
- MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy.
Qwen 3.8 Max 97.7%
- MMStar In use Models answer 1,500 human-curated image questions that cannot be solved without the image, across 6 core capabilities. Scored by accuracy.
Qwen 3.8 Max 85.9%
- ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance.
Command A Vision 90.9%