Dataset Hub

This dataset focuses on the image classification of nighttime accident scenes, aiding in traffic safety monitoring and analysis.

The Onion Classification and Segmentation Dataset is an image dataset focused on the agricultural field, aiming to enhance the intelligence level of crop classification and pest and disease detection.

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.

A dataset focusing on images of hooded garments with occlusions, aimed at enhancing clothing recognition in retail.

This dataset focuses on action recognition and path analysis in welding operations, providing diverse video data to support research and applications.

This dataset provides high-quality images for the detection and inspection of inductors and transformers in industrial settings.

This dataset focuses on the appearance image recognition of portable projectors, aiming to enhance the image classification capabilities of smart devices.

This dataset provides image data of urban road construction waste occupation scenes, aiming to enhance traffic management efficiency.

This dataset is used to identify abnormal searching behaviors in home environments to enhance the effectiveness of security surveillance.

This dataset is for visual estimation of temperature values on mercury thermometers, enhancing the automation level of medical temperature monitoring.

This dataset provides high-quality images for greenhouse tomato environment monitoring, supporting object detection tasks.

This is a target detection dataset focused on matching the relative positions of infusion stands and hospital beds, aimed at improving the management and safety of medical equipment.

The Papaya Tree Recognition Dataset is used to support the automatic identification and classification of AI models, promoting intelligent agricultural management.

This dataset is used for recognizing the action of people climbing over fences, applicable to various security scenarios.

Collection of asparagus images under different brands and packaging methods for packaging detection and automatic recognition in retail scenarios.

The Durian Plantation Disease Identification Leaf Spot Disease Image Dataset aims to improve the accuracy of plant disease identification.

A dataset designed for detecting multilingual characters to ensure compliance with export language requirements.

A comprehensive dataset for detecting and monitoring high pressure oil pumps in industrial settings.

A dataset featuring inspection images of various generator models for quality control purposes.

The farmland irrigation equipment detection dataset provides high-quality target detection data for intelligent agricultural monitoring.