Dataset Hub

The Sweet Potato Quality Detection Dataset is a high-quality image dataset for object detection, aimed at improving the efficiency of sweet potato quality assessment.

This dataset aims to provide high-quality corn seedling image data for object detection tasks.

This dataset provides high-quality image data for tunnel and special scenarios traffic safety monitoring, aiming to support the training and application of object detection algorithms.

This dataset provides high-quality images for detecting defects in slide rails and guide rails in industrial settings.

Includes images of farmland floods under extreme weather such as heavy rains and flash floods, for AI model research on the impact of climate change on agriculture.

This dataset provides high-quality image data for sleep monitoring devices, supporting target detection and image classification tasks.

A dataset providing obstructed images of casual shoes to enhance recognition accuracy in e-commerce applications.

A dataset designed for recognizing the usage areas of massage devices, including neck, back, legs, and feet.

This dataset contains images of shoulder bags with various occlusions for enhanced object detection and classification tasks.

A dataset focused on outdoor jackets, capturing the challenges of occlusions and reflections in retail e-commerce.

This dataset is dedicated to promoting agricultural automation by recognizing the use of farm tools, thereby enhancing agricultural production efficiency.

This dataset provides image classification support for grape destemming task status in the agricultural field.

Raspberry variety classification dataset to support intelligent agriculture in raspberry variety recognition and classification research.

This dataset is used for the automatic recognition and monitoring of highway traffic congestion.

Jeans try-on effect image dataset, aimed at enhancing consumer online shopping experience.

This dataset is used to identify the health status of poultry, aiding agricultural health monitoring and disease warning.

This dataset is used to identify flowers and Rutaceae plants in gardens, aiding in agricultural and forestry management and research.

The Grass Seed Recognition Classification Dataset provides a wealth of grass seed images, supporting the development of smart agriculture.

This dataset focuses on hand keypoint detection in handheld thermometer scenarios, providing data support for smart healthcare.

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