Greenhouse Crop Detection Dataset

In the current agricultural sector, greenhouse crop monitoring and management face challenges of high cost and low efficiency. Existing image recognition technologies lack adaptability in complex environments and fail to effectively identify crop health status and pest infestations. This dataset aims to provide high-quality image data to aid in developing more accurate target detection models to meet the practical needs of greenhouse crop monitoring. Data collection uses high-resolution cameras under various lighting and weather conditions to ensure data diversity and representativeness. To ensure data quality, multiple rounds of annotation and expert review are conducted to ensure annotation consistency and accuracy. Data is stored in JPG format, organized by image ID for ease of subsequent processing and application.