Multimodal benchmarking
VLMBench / multimodal model evaluation
An evaluation tool for comparing multimodal language models with a consistent prediction-to-ground-truth methodology.
- Evaluated model outputs across image and text tasks using repeatable scoring flows.
- Built around provider APIs, cloud storage, structured samples, and result analysis.
- Focused on making model comparisons auditable and easier for teams to reason about.
PythonGCPOpenAI APIGemini APIEvaluation design