This dataset provides high-quality images for grass maturity detection to support object detection tasks in the agricultural field.

Test whether a model can find the right item among similar childrenswear products by distinguishing details such as color, size, and material.

This dataset facilitates the classification of different types of fans for enhanced e-commerce applications.

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

The Eye Cream Image Classification Dataset aims to support product recognition and classification tasks for e-commerce platforms.

A collection of images featuring dresses with various occlusions for improved product recognition.

Train models to turn application materials and policy sources into complete, evidence-traceable reviews of personal loan decline decisions.

Train models to use tools reliably and answer with evidence through inventory and batch lookup trajectories grounded in specialty food retail.

This dataset provides high-quality aerial images of terraced terrain, supporting object detection tasks.

This dataset enables accurate recognition of various washing machine types for e-commerce applications.

This dataset contains images of occluded canned food products for improving recognition in retail settings.

Provides a time series dataset of customer hourly electricity consumption from 2012 to 2014.

This dataset provides high-quality image data for agricultural object detection, supporting the intelligent upgrade of agricultural machinery weeding operations.

The open-pit mine boundary detection image dataset is used to improve the accuracy and efficiency of mine boundary identification.

This dataset focuses on OCR recognition of subway station signage, aiming to improve the recognition efficiency of intelligent transportation systems.

Train models to recognize and classify guest needs across the luxury hotel service journey.

Improve a model's ability to distinguish similar products and answer shopping questions with catalog-grounded specification and variant comparisons.

Train models to connect chronological OLT, PON port, and ONU alarms and infer likely causes of XGS-PON faults.

This dataset is used for asparagus quality grading to support agricultural automation detection.

The Evergreen Euphorbia Image Recognition Dataset focuses on improving the recognition accuracy of agricultural and forestry plants.