Dataset Hub

The sonar image-based fishery fish school density retrieval dataset supports precise fish density analysis.

This dataset is used for disaster level classification of crops with different levels of flooding, supporting AI training and evaluation.

This dataset focuses on the identification and analysis of rear-end collisions in tunnels to enhance traffic safety levels.

The children's action recognition video dataset in the game room provides high-quality videos for recognizing children's actions, aiding the enhancement of intelligent security and human-computer interaction technologies.

This dataset is used for farmland pest species recognition, containing a wealth of image samples and annotation information.

The Tea Garden Scene Recognition Dataset provides high-quality object detection data for the agriculture sector, aiding the development of intelligent technologies.

The hospital corridor personnel density estimation dataset is used to improve the accuracy of density estimation models.

The Beehive Operation Behavior Recognition Dataset is used to support intelligent beekeeping and automatic detection of bee behaviors.

This dataset focuses on small object detection in liquid level, providing high-quality image data support for the medical field.

A comprehensive image dataset for the automated detection of door handles used in industrial manufacturing.

This dataset focuses on detecting imbalance in washing machine drums to enhance performance and durability.

The Underground Parking Pedestrian and Vehicle Mixed Traffic Image Dataset is a key resource for enhancing perception capabilities in mixed traffic environments.

This dataset is specifically designed for autonomous driving and intelligent transportation systems, containing high-precision annotated lane line image data.

This dataset is designed specifically for person recognition in office meeting scenarios to help improve the accuracy of facial recognition systems.

The infant sleep posture recognition image dataset aids in improving infant sleep safety research.

The dataset for identifying pink disease in durian plantations is dedicated to improving the accuracy of disease detection.

This dataset provides high-quality images of infusion pumps to support object detection tasks.

This dataset is used to analyze the correlation between the color characteristics and maturity of strawberries to enhance agricultural intelligence.

A dataset focused on detecting failures in electric rice cooker switch buttons.

This dataset provides precise pixel-level segmentation annotations for crop pest monitoring, aiding the development of AI models.