Tomato Diseases and Pests Identification Dataset

The current agricultural field faces significant losses caused by diseases and pests, especially in tomato cultivation, where the occurrence of diseases and pests directly affects yield and quality. Existing monitoring methods largely rely on manual inspection, which is inefficient and prone to missing critical information. This dataset aims to provide high-quality image data support for the automatic identification of agricultural diseases and pests, improving the accuracy and efficiency of disease and pest identification through object detection technology. Data collection is conducted using high-resolution cameras in natural environments to ensure the authenticity and diversity of the images. We implement multiple rounds of annotation and consistency checks, with professional agricultural experts reviewing the annotation results to ensure data quality. The data is stored in JPEG format, organized by image ID for quick retrieval and use.