Shorts AI Outfit Collection, aiding retail e-commerce in enhancing user online shopping experience.

The Garden and Flower Mulberry Recognition Image Dataset aids in identifying the health status of various flowers and fruit mulberries.

The Orchard Scene Recognition Dataset provides high-quality images and annotations for agricultural object detection, aiding in orchard management and monitoring.

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

This dataset aims to enhance the automatic recognition of pests and diseases in tea tree leaves, contributing to the development of precision agriculture.

This dataset is a blood collection needle image dataset for the medical field, suitable for object detection tasks.

The Front Lamp Detection Dataset facilitates automated quality assurance in industrial settings.

This dataset is designed for detecting deformities and misalignments in connecting rods.

This dataset is used to support the object detection of suction hook installation slots, aiding automated assembly.

This dataset is used for green chili damage recognition, supporting object detection tasks and promoting agricultural intelligence.

This dataset focuses on identifying stall and occupancy behaviors at transportation hubs to support urban management.

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

This dataset focuses on the detection of wiper arm efficiency and external damage.

This dataset provides high-quality image data for grassland moisture and health monitoring, aiding intelligent agriculture management.

The Garden Flower Rhododendron Identification Image Dataset is used to improve the accuracy of flower identification.

The Garden Flowers Plumbago Recognition Image Dataset aids in the precise identification and management of garden plants.

This dataset is used to predict the icing thickness of transmission lines, enhancing the monitoring and maintenance efficiency of the energy sector.

The Midi Skirt Style Try-On Dataset provides a realistic virtual try-on experience, helping the retail e-commerce industry enhance users' shopping experience.

This dataset is used for classifying wear compliance in sleep monitoring, aiding the training and development of deep learning models.

This dataset provides high-quality image data for infusion stand scene classification in ward environments, supporting smart medical applications.