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This dataset focuses on the recognition of hawthorn among garden flowers, providing high-quality image data to support precise plant classification.

This dataset focuses on pose estimation of harvest workers, aiding the development of agricultural intelligence.

This dataset is used for the automatic detection and counting of papaya fruits, aiding the development of agricultural intelligence.

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

This dataset provides images for wheel hub defect detection to enhance automotive quality control.

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

This dataset records images of papaya from seedling to fruiting stages, intended for AI models to recognize crop growth status and support precision agriculture management.

The Garden Leaf Spot Disease Identification Image Dataset helps in identifying various leaf spot diseases through images.

This dataset focuses on detecting the installation position and integrity of air conditioning outlet guiding blades to ensure controlled airflow.

The Evergreen Euphorbia Image Recognition Dataset focuses on improving the recognition accuracy of agricultural and forestry plants.

This dataset is used to estimate soil moisture levels based on image data of surface cracking.

This dataset is used to monitor the congestion of subway carriages, assisting public transportation management and research.

The Midi Skirt Style Try-On Dataset provides a realistic virtual try-on experience, helping the retail e-commerce industry enhance users' shopping experience.

The Amaryllis Image Recognition Dataset focuses on improving flower recognition and classification technology in the agriculture and forestry sector.

This is an image classification dataset focused on homewear product images.

This dataset records crop growth anomalies in flood environments, aiming to support AI models in anomaly identification.

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

This dataset contains images of vineyard scenes under different seasons and lighting conditions, supporting AI model orchard recognition and analysis.

This dataset is used for AI automated judgment of strawberry ripeness, promoting the development of intelligent picking and grading technology.

This dataset is used for target detection of free-range chickens to support agricultural automation monitoring.