Papaya Fruit Detection and Counting Dataset

The current agricultural field faces challenges in fruit detection and counting, especially in efficiently and accurately assessing fruit growth status and yield. Existing solutions often rely on manual counting, which is inefficient and prone to errors. This dataset aims to support researchers and developers in building automated fruit detection and yield prediction models by providing high-quality papaya fruit images and precise annotation information. The dataset includes papaya fruit images at different growth stages and under different lighting conditions, captured using high-resolution cameras to ensure data diversity and representativeness. To ensure data quality, multiple rounds of annotation and consistency checks are conducted, with the final review by agricultural experts. The data will be stored in JPG format, organized into folders categorized by time and location, facilitating subsequent processing and analysis.