Goose and Duck Breeds Classification Dataset

In the current agricultural field, the identification of goose and duck breeds faces challenges such as low automation and high labor costs. Existing solutions often rely on expert judgment, lacking systematic data support, leading to low identification efficiency. This dataset aims to solve accuracy and efficiency issues in goose and duck breed identification by providing high-quality image data. The dataset consists of images taken in various environments, ensuring diversity and representativeness. Data collection was conducted using high-resolution cameras under natural lighting conditions to ensure image quality. We adopted multi-round annotation and expert review quality control measures to ensure consistency and accuracy of the annotations. Data is stored in JPEG format for quick loading and processing.