The Logistics Receiving and Sending Area Cargo Stacking Image Dataset is used to optimize cargo stacking recognition and management in the express logistics field.

Evaluate how well models reason about community health program plans under coverage, staffing, budget, and accessibility constraints.

This dataset is used for detecting abnormal conditions of crop leaves to support intelligent agricultural monitoring.

Make SAT answer choice decisions more retrievable and explainable with evidence that supports correct answers and refutes distractors.

The key information extraction dataset for doctor-patient conversations is used to enhance the information extraction capability of medical dialogue systems.

This dataset provides a virtual try-on solution for home outfits, enhancing user experience in the e-commerce industry.

Specialized Q&A on SAT accommodations and digital accessibility helps models answer candidates' procedural questions more accurately.

Sweet potato instance segmentation dataset to aid agricultural intelligence and pest detection.

This dataset contains images of occluded toothpaste and toothbrush products for improved recognition and classification in retail e-commerce.

Connect technology coverage questions to patent text evidence for grounded patent portfolio question answering.

A dataset dedicated to enhancing the detection of heat shields in industrial environments.

A comprehensive dataset for enhancing image recognition of T-shirts under varying occlusion and lighting conditions.

The smart doorbell voice interaction audio dialogue dataset is a high-quality audio dataset designed to enhance the interaction capabilities of smart doorbell devices.

Connect SAT score rules with university admissions policies and evaluate cross-source reasoning with traceable evidence.

Soil pollution detection dataset, dedicated to improving the efficiency and accuracy of agricultural soil monitoring.

Train models to assess chromatography compatibility by reasoning across method parameters, sample conditions, and instrument specifications.

This dataset is used to identify cases where the grounding screw of water heater casing is not installed or is loose, enhancing safety.

A dataset designed to enhance the detection of LCD screen defects in rice cookers.

Train models to recognize operational workflow intents and extract key details from requests about alert lookup, incident assignment, and escalation.

Turn 3D physics requirements into JavaScript-compatible engine code to train models for practical simulation programming.