Carrot Growth Stage Recognition Dataset

The current agricultural field faces challenges in crop growth monitoring, especially in precision agriculture, where timely identification and monitoring of crop growth stages is key to improving yield and quality. Existing solutions often rely on manual observation, which is inefficient and prone to errors. This dataset aims to solve the technical problems of automated recognition by providing high-quality images of carrot growth stages to meet the business needs of smart agriculture. The dataset contains 5,000 precisely annotated images of carrot growth stages, captured using professional cameras in various growing environments to ensure data diversity and accuracy. After data collection, multiple rounds of annotation and consistency checks were conducted to ensure the accuracy of each image's annotation, finally stored and organized in an efficient JPEG format.