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 provides a rich set of green chili images, supporting varietal classification and recognition 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 a large collection of video data on illegal parking causing traffic blockages, aiming to enhance the intelligence of traffic management systems.

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

This dataset is used to detect the encroachment of roads by material stacking at construction sites.

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.

The blood sample microscopic image classification dataset is used to improve the precision of automated blood sample analysis.

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

This dataset aims to improve the accuracy of automatic recognition of syringes and consumables, optimizing medical equipment management.