Horse Individual Identification Dataset

In the agricultural field, individual identification of horses is crucial for farm management and animal health monitoring. Currently, many farms face issues such as low identification efficiency and inaccurate data in horse management. Existing solutions often rely on manual labeling, which is time-consuming and error-prone. This dataset aims to address accuracy and efficiency issues in object detection by providing high-quality images of horses and their annotations. Data is collected using high-resolution cameras, with photos taken in natural environments where horses are frequently active to ensure data diversity. For quality control, multiple rounds of annotation and expert review mechanisms are used to ensure consistency and accuracy in labeling. Data is stored in JPG format, organized by category and ID for easy retrieval and use.