A continuous video frames dataset of goose for computer vision

As research on geese is currently in a relatively new field, there is a lack of suitable publicly available datasets. The data were obtained from a free-range goose farm in Lubei Village, Xiaoyi City, Shanxi Province. In order to obtain continuous image data of geese in their natural environment, video data were collected from the breeding environment of free-ranging geese. The videos were captured in a top-down perspective at a height of 1.8 metres above the ground. The main data acquisition device was a Huawei HONOR 60, acquired on 10 May 2023, and the videos obtained included at least two types of disturbances: weed-filled environments and shadows from trees. Introducing these complexities ensures a realistic simulation of the video capture scene in a natural environment. Once the video data were acquired, the captured video was edited into images every 2 seconds. Images that are morphologically difficult to recognise, have unclear features or are too blurred are discarded, so that the majority of the images obtained are clear. Finally, a continuous video frame dataset is constructed.

鉴于鹅类研究目前尚属新兴领域，当前缺乏适配的公开可用数据集。本数据集的数据采集自山西省孝义市鲁北村的一家散养鹅场。为获取自然环境下鹅群的连续图像数据，研究团队从散养鹅的养殖环境中采集了视频数据。视频采用俯视视角拍摄，拍摄高度距地面1.8米。主要数据采集设备为华为荣耀60（Huawei HONOR 60），采集时间为2023年5月10日。所采集的视频包含至少两种干扰场景：杂草丛生的环境以及树木投射的阴影。引入这些复杂场景，可实现对自然环境中视频拍摄场景的真实模拟。完成视频数据采集后，将采集到的视频每2秒截取为一帧图像；剔除形态难以辨识、特征模糊或过度失焦的图像，最终得到的图像大多清晰可用。最终构建得到连续视频帧数据集。