Benchmark RadarAI BENCHMARK PROFILE
FineSightBench
FineSightBench probes fine-scale visual perception in VLMs across scales from 4 to 48 pixels, separating perception and reasoning tasks.
- Released
- 2026-06-05
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Reveals limits in fine-grained VLM perception, motivating better evaluation, but is a probe with no public path.
Motivation
Recent vision-language models (VLMs) excel at multimodal understanding and reasoning, yet their fine-grained visual perception remains underexplored.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.