CLARU
maghzalmit

PathEval

A benchmark for evaluating Vision-Language Models as evaluators in complex path-planning scenarios, where VLMs must compare two paths and determine which better satisfies given optimization criteria.

Downloads101

Technical Profile

Modalities
rgb
Environment
simulation
Task Types
path_planningnavigation
Data Format
json
License
mit
Part of the PathEval family

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