This dataset focuses on detecting loose nuts in home appliances to prevent vibration-related failures.

The cabin voice assistant control command dataset is designed specifically for optimizing voice recognition and control in vehicular driving.

Train models to reason cautiously about changes in heavy metal contamination risks and migration under different remediation options and conditions.

This dataset focuses on target detection for road towing and accidents, supporting intelligent management in the transportation industry.

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

Train models on Digital SAT calculator rules and built-in tool details often missing from general math Q&A.

Trace key NDA obligations from commencement through post-termination with clause-level evidence for legal search and grounded answers.

This is a target detection dataset for the classification of fence materials, assisting in agricultural monitoring and management.

Evaluate how accurately models extract key temperature sensor specifications from product pages and technical catalogs.

This dataset focuses on the image classification of lip mask products to help improve product identification efficiency.

This dataset provides high-quality images for virtual shirt try-on, aiming to enhance the e-commerce user experience.

This dataset focuses on target detection and recognition of water heater control panels, aiding the development of smart home technology.

Help models understand the fees, rules, responsibilities, and action steps found in Korean housing and rental documents.

This dataset provides high-quality winnowing scene images for the agricultural sector, aiding crop identification and monitoring.

The Garden Flower Conical Hydrangea Image Recognition Dataset is developed for robotic vision systems.

This dataset provides high-quality images of urban road traffic police enforcement scenes, aimed at improving the performance of object detection algorithms.

Evaluate how well models interpret lighting control logic and state transitions using lighting ECU source code and state machine annotations.

Help models answer specialized patent portfolio questions accurately with document-grounded answers and traceable evidence.

Train and evaluate more reliable employment contract RAG systems with queries, relevant clauses, and evidence annotations organized around practical retrieval workflows.

Turn written modeling requirements into block model scripts with examples covering parameter derivation and operation workflows.