Brief

Researchers have introduced the CompliVision dataset, a novel resource for general hazard detection designed to overcome limitations in current systems. This dataset decouples hazard concepts from image examples by using language-based rules derived from regulations and ISO standards. It includes 3,006 annotated images across traffic, construction, and warehouse environments, paired with natural language explanations. The approach utilizes an active learning framework and a vision-language model, LLaVA, with human-in-the-loop feedback to improve hazard compliance assessment. AI