Benchmark RadarAI BENCHMARK PROFILE
Pocket-Dentist
Pocket-Dentist is an efficiency-aware benchmark for dental multimodal question answering that combines three datasets, five task types, and seven metrics to evaluate VLMs on accuracy and computational cost.
- Released
- 2026-05-28
- Readiness
- Inspectable
- Primary field
- Health & Life Sciences
Why it matters
It highlights the trade-off between model performance and efficiency for on-device dental screening, which is essential for practical deployment in resource-limited settings.
Motivation
Evaluations of dental vision-language models remain fragmented across datasets, task definitions and metrics, and often ignore their computational cost.
Primary resources
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