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.

本数据集包含91张记录向日葵上蜜蜂活动的图像。该组照片于2019年11月4日（周一）下午3:35至3:40，使用iPhone XR智能手机拍摄于中国台湾省台中市新社区。单张原始图像的分辨率为1478×1108像素，格式为JPEG文件。为更高效地开展模型训练，我们采用多视角旋转策略进行数据增强，将数据集规模扩充至原始的三倍。随后借助Matlab对图像中的感兴趣区域（Region of Interest, ROI）进行手动标注，共生成412条标注条目，所有标注结果均保存于.mat格式文件中。