A dataset of bee on blooming sunflower images for object detection

The dataset is composed of 91 images of bees on sunflowers.
The photos were taken in the new community of Taichung City, Taiwan from 3:35 to 3:40 pm on Monday, November 04, 2019 with the iPhone XR mobile phone.
The image after shooting is 1478*1108 pixels and the format is .jpg file.
In order to train the model more effectively, we use multi-angle rotation to perform data enhancement and expand the number of data sets to three times of the original.
Use Matlab to manually mark the region of interest in the image, a total of 412 annotations, and the annotation image is saved in a .mat file.

该数据集由91张蜜蜂在向日葵上的图像组成。影像摄于台湾台中市的崭新社区，具体时间为2019年11月4日星期一下午3:35至3:40，采用iPhone XR智能手机拍摄。拍摄后的图像分辨率为1478*1108像素，文件格式为.jpg。为了更有效地训练模型，我们采用多角度旋转进行数据增强，将数据集的数量扩展至原始数量的三倍。利用Matlab手动标注图像中的感兴趣区域，共计412个标注，标注图像以.mat文件格式保存。