Cattle Detection Dataset

The current agriculture industry faces issues of low efficiency in cattle monitoring and management, especially in large-scale farms. Traditional manual monitoring methods are not only time-consuming but also prone to errors. Existing solutions often rely solely on simple sensor data, lacking comprehensive visual recognition capabilities. The cattle detection dataset aims to solve this technical bottleneck by providing high-quality image data to assist researchers and developers in training more accurate target detection models. During the dataset construction process, we used drones and high-definition cameras to collect data in real-world environments. Through multiple rounds of annotation and expert review, we ensure the quality and accuracy of the data. Data storage uses JPEG format to facilitate subsequent processing and analysis.