This dataset focuses on identifying epiphytes in durian plantations through moss images.

This dataset provides audio data of abnormal sounds in open office environments, suitable for automatic sound extraction and anomaly detection.

The Staircase Fire Safety Facilities Status Recognition Dataset is used to enhance the efficiency and accuracy of facility inspections in building safety management.

The Dental Clinic X-ray Image Caries Segmentation Dataset is fundamental data for improving caries detection accuracy.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

This dataset records the full video of a desert convoy crossing, supporting environmental monitoring and autonomous driving research.

This dataset focuses on detecting personnel working at heights in scaffold areas.

An image dataset for detecting crowding levels in elevator lobbies.

This dataset is specifically constructed to enhance English speech recognition systems, covering general daily contexts.

Durian plantation pest identification scale insect image dataset, aiding precision agriculture pest management.

Focused on visual detection of shelf goods out-of-stock to enhance retail management efficiency.

This dataset presents the structure of tableware placement under different conditions in image form. It is used to enhance the intelligence level of dining management and automated placement systems.

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

The cleanroom personnel dress code compliance detection dataset is used to identify and improve personnel dress compliance in cleanroom environments.

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

This dataset is used to recognize the occupation status of corridors and public passages.

The durian plantation disease identification algal spot disease image dataset is designed to enhance the precision of robotic visual recognition.

Identify leaf rot disease in durian plantations through a high-quality image dataset.

This dataset is designed for the task of instrument reading recognition at quality inspection stations in the field of scientific research.

The durian plantation pest spider mite image dataset is used to improve pest detection and control efficiency.