Train models to identify new disaster-related changes more reliably using pre- and post-disaster mapping records and explicit inference rules.

Train models to interpret and reconstruct suspected rootkit activity with multi-source forensic evidence and careful expert reasoning.

Trace kernel code paths and verify privilege boundaries with source samples designed for coding agent analysis.

Train expert security QA models to reason from vulnerability advisories, applicability details, and protection guidance.

This dataset focuses on the recognition of actions blocking the camera to enhance the intelligence level of security surveillance.

Explore source code and structured annotations for identity context propagation failures in zero trust systems, and verify the integrity and trustworthiness of information used in access decisions.

The cleanroom personnel dress code compliance detection dataset is used to identify and improve personnel dress compliance in cleanroom environments.

Train models to analyze botnet infrastructure more carefully through long-form Q&A on report evidence, association reasoning, and attribution limits.

This dataset is used to recognize the dangerous behaviors of pets, enhancing household security monitoring capabilities.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

Verify Web security claims against web evidence to build more reliable technical fact-checking capabilities.

Train models to reason across mobile application security findings and produce actionable remediation guidance with long-form expert QA.

This dataset is used to identify whether workers are wearing helmets and if they are wearing them correctly, supporting intelligent monitoring and safety management in the security field.

This dataset is used for detecting the wearing status of safety equipment for personnel within construction areas.

This dataset is dedicated to recognizing sudden falls of the elderly in non-exercise situations, applicable to various scenarios.

Explore Zero Trust service failure scenarios and uncover exception-handling defects that could undermine access control.

The X-Ray Image Contraband Detection Dataset at Security Checkpoints focuses on improving the accuracy of contraband identification in baggage screening images.

This dataset is used to recognize prohibition signs in road construction areas, enhancing safety protection levels.

This dataset aims to recognize the usage of safety belts by workers during high-altitude operations.

The Kitchen Gas Leakage Audio Alert Dataset focuses on improving the accuracy of gas leakage detection, ensuring household and public safety.