Visual Wake Words (VWW)
Person-presence image classification for microcontrollers (MCUNet repo)
domain
Definition
- Version
- not in the notes
- Category
- domain
- Maintainer
- not in the notes
- Status
- not in the notes
- Home page
- not in the notes
Sources
- GitHub - mit-han-lab/mcunet: [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based github.com https://github.com/mit-han-lab/mcunet
Scores
| Model | Score | Who ran it | Setting | View or population | Date | Source |
|---|---|---|---|---|---|---|
 mcunet-vww2 | 91.8 % | vendor-reported | int8 | – | – | github.com |
Where this comes from
Scores from different settings, harnesses or dates are not directly comparable; the row says which. Sorted by score, highest first, as a reading aid, not a ranking.
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Visual Wake Words (VWW)", https://aurion.semai.id/benchmarks/visual-wake-words/, records of October 2026.