GooseDetect^lion

The GooseDetect^lion is the first large lion-head goose detection dataset, which consists of 2,660 images and 98,111 bounding box annotations. The dataset was collected with 6 cameras deployed in a goose farm in Chenghai district of Shantou city, Guangdong province. Images sampled from videos collected during July 9 -10 in 2022 were fully annotated by a team of fifty volunteers. The data were collected by 6 cameras deployed in a lion-head goose farm. The dataset contains 2 categories of geese defined chronologically: big geese and small geese. The big geese are older than 9 weeks, and the small ones are between 5 and 8 weeks. It is fully and manually annotated at the frame level, with following labels:• Bounding boxes: The position of each goose in an image is given in the form of a bounding box.• Goose category tags: Each goose is labelled by a goose category tag, i.e., “big goose” or “small goose”.Our dataset was uploaded in VOC2007 format, which contains 2660 images(.jpg) and corresponding annotation files(.xml).

GooseDetect数据集（GooseDetect）是首个大型狮头鹅（lion-head goose）目标检测数据集，共包含2660张图像与98111个边界框（bounding box）标注。该数据集由部署在广东省汕头市澄海区某鹅场的6台摄像头采集获取。2022年7月9日至10日采集的视频中抽取出的图像，由50名志愿者组成的团队完成了全量人工标注。本次采集的数据均由部署在狮头鹅养殖场的6台摄像头完成。该数据集包含按生长时序划分的两类鹅：大鹅与小鹅。其中周龄超过9周的个体为大鹅，5至8周龄的个体为小鹅。该数据集在帧级别完成全量人工标注，标注内容如下：• 边界框标注：图像中每只鹅的位置以边界框形式给出。• 鹅类别标签：每只鹅均被赋予类别标签，即“大鹅”或“小鹅”。本数据集采用VOC2007格式上传，包含2660张.jpg格式图像及对应的.xml格式标注文件。

搜集汇总

背景与挑战

背景概述

GooseDetect^lion是首个大型狮头鹅检测数据集，包含2,660张图像和98,111个边界框标注，采集自广东汕头鹅场的监控视频。数据按鹅的年龄分为大鹅(9周+)和小鹅(5-8周)两类，采用VOC2007格式存储。