VisualProbe
Models search high-resolution images for small targets to answer questions, often over many crop and zoom turns. Answers are checked against a key.
Released with the Mini-o3 paper as the Visual Probe Dataset, with train and test splits.
- Made by
- Mini-o3 team (HKU and ByteDance)
- Released
- September 2025
- Kind
- Detection and captioning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a launch post
- May 2026, dropped before it saturated
- Last model added
- May 2026
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
Step 3.7 Flash leads with 65%
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 | | 65% | May 2026 | Lab model card |
Scores over time
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
Labs headline it less often now, last in May 2026
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 |
|---|---|---|---|
| May 29, 2026 | 65 | VisualProbe (with Python) |
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