This dataset provides high-quality loose powder product images for classification and recognition tasks.

This dataset focuses on the semantic segmentation of seedlings and soil, aiding the development of precision agriculture.

This dataset is used to analyze the correlation between the color characteristics and maturity of strawberries to enhance agricultural intelligence.

Explore patent claim term interpretations through structured evidence, party positions, and court conclusions from judicial decisions.

This dataset is used for identifying rose varieties among garden flowers.

This dataset provides high-quality cabbage phenotype features for agricultural target detection and health assessments.

Train models to track active conditions and respond accordingly with multi-turn examples covering persistent, updated, and invalidated rules.

This dataset focuses on the detection of interaction areas in desk drawers to aid target detection tasks in the furniture field.

This dataset aims to help the agricultural sector quickly identify soil types through image recognition technology.

This dataset focuses on image classification of interaction scenes between surgeons and robots, aiming to enhance the intelligence level of medical robots.

This dataset is for target detection of irrigation machinery to aid the development of smart agriculture.

This dataset provides high-quality image data for soil fertility evaluation, supporting research and applications in precision agriculture.

The Garden Flower Dahlia Image Recognition Dataset aids precise identification and classification in the agricultural and forestry domain.

Evaluate accounts payable matching and discrepancy detection across purchase orders, goods receipts, invoices, and payment records.

Connect claim amendments to evidence in the original application to train patent QA models that assess support and locate relevant passages.

Connect venue specifications from business hotel pages with source evidence for more reliable meeting and event information retrieval.

Evaluate how well models understand commercial litigation motions, from governing standards and argument logic to requested rulings.

Train models to reason about how coastal protection changes inundation risk and what residual impacts remain through paired scenarios and explanations.

This dataset is used to document crop leaf damage to support AI training for crop health monitoring models.

The spatial guidance sign image dataset is used to improve the accuracy and efficiency of navigation systems.