Tea Garden Scene Recognition Dataset

The current agriculture industry faces challenges such as low crop monitoring efficiency and difficulty in pest and disease identification. Existing solutions often rely on traditional manual inspections, which are time-consuming and prone to errors. Therefore, this dataset aims to assist in developing smarter object detection algorithms by providing high-quality tea garden scene images, thereby enhancing the level of agricultural production intelligence. The dataset includes 5000 carefully annotated tea garden images covering different growth stages and environments. Data collection is conducted using high-resolution cameras under various time and weather conditions to ensure sample diversity. In terms of quality control, multiple rounds of annotation and expert review were implemented to ensure consistency and accuracy of the annotations. The data is stored in JPG format, organized by category and environmental conditions for easy subsequent processing and analysis.