Inshore Ship Data with Segmentation and Detection Labels

We collected inshore ship images of different ports from GoogleEarth, and manually labeled the images for semantic segmentation and object detection.

Files

The images and segmentation labels are stored in seperated folders: "img" and "label".
And the coordinates of rotated bounding boxes of ships for detection are written in "RotationRegionLabels.txt".

Annotation

In "RotationRegionLabels.txt", one image occupies a line, and each line includes:
File name of image; Number of objects; (And then for each object) rectx (5 values, first and fifth are the same), recty (5 values, first and fifth are the same) of minimal bounding rectangle; cx,cy,w,h,theta (to indicate the rotated bounding box in an alternative way).

"showresults.m" shows the labels of data and may help you to understand the above file.

PASCAL VOC format for detection of rectangular bboxes

Furthermore, we provide rectangular bounding box labels for the 200 images in folder "GoogleEarth", and rearrange them in accordance with PASCAL VOC format, provided in folder "200boatRectBbox".

Download

Link: https://pan.baidu.com/s/1GnxLkJr8HJaQzlS3wc53pQ
Key: 4cye
You can download the whole set, or only part of it.

Examples

Image overview:

Segmentation labels:

Detection label example:

Contributor

Zhihong Pan, Hao Dou, Tian Tian, Xiangyu Tan, and many other fellows in AIA-HUST and CS-CUG