Train models to analyze iOS application security evidence and deliver expert-level answers grounded in platform knowledge.

Develop vision algorithms for safety and care applications with images focused on human falls and abnormal postures.

The Bald Face Recognition Image Dataset focuses on improving the accuracy and security applications of bald face recognition.

Help models understand cross-packet IDS/IPS session logic and detect implementation issues through structured verification of source code and state rules.

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

Connect mobile application security issues with applicable remediation documents to evaluate security retrieval and matching.

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

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

The Device Operation Abnormal Alarm Audio Detection Dataset focuses on the field of safety protection audio, enhancing the precision and responsiveness of alarm systems.

Train models to distinguish authentic botnet advisories, reposts, impersonation, and inconclusive claims by comparing pages with publisher references.

This dataset focuses on the automatic recognition of fighting and brawling behaviors to enhance security surveillance efficiency.

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

The Staircase Fire Safety Facilities Status Recognition Dataset is used to enhance the efficiency and accuracy of facility inspections in building safety management.

This dataset focuses on enhancing the safety of the elderly using stairs at home by providing support through intelligent Q&A.

The Fire Scene Thermal Imaging Segmentation Dataset provides high-precision thermal imaging pictures to improve the efficiency of fire detection and localization.

Verify tenant boundaries in zero trust services and pinpoint the code-level causes of cross-tenant security risks.

This dataset is used for identifying dangerous climbing actions of children at home to enhance household safety protection.

This dataset is used for recognizing theft behavior in the commercial retail environment, suitable for the security industry.

Match cyber incident claims to case-file evidence with labels for sufficiency, supporting passages, and evidentiary gaps.

Image data and linked annotation information for fall recognition and safety behavior monitoring, supporting the development of intelligent visual alerting solutions.