
摘要
我们提供了一个新的实例级飞机数据库,包含1个实例飞机物体,型号为中国航空747。从搜索引擎上使用网络爬虫获得图片数据,同时在不同的物体遮挡和光照强度下对中国航空747模型进行了多视角的拍摄。该数据集包含共1661张1280*720的图像,和人工标注矩形框的xml文件(标注工具为LabelImg)。
Abstract
We provide a new instance-level plane dataset with one plane instance-level object whose type is Airchina 747. Obtain image data from search engines using web crawlers and take multi-view shots of Airchina 747 model under different object occlusions and light intensities. The dataset contains 1661 images with 1280*720 resolution and the xml files which are manually annotated with bounding boxes (The tool is LabelImg).
内容
· 包含1104张图像的训练集,558张图像的测试集
· 每张图像中包含单个或多个实例飞机物体
· 对实例飞机物体进行了矩形框标注的xml文件
· 拍摄设备:Canon EOS 80D, 18-135mmIS USM镜头
有关更多详细信息,请参阅数据链接中包含的README文件。
Contents
· Train dataset contains 1104 images and test dataset contains 558 images.
· Each image contains single or multiple plane instances.
· The xml files which plane instances are annotated with bounding boxes
· Equipment: Canon EOS 80D, 18-135mmIS USM.
For more details please see the README files that are included in the data links.
数据下载(Data)
BHID-P:
bhid_p.zip
脚本
使用爬虫获得图片(python):
get_image.zip
对图片进行归一化并重新命名(python):
normalization_and_rename.zip
Scripts
Get images by using crawler (python):
get_image.zip
Normalize and rename images(python):
normalization_and_rename.zip