Dataset Ninja LogoDataset Ninja:

Ship Detection from Aerial Images Dataset

62112696
Tagaerial
Taskobject detection
Release YearMade in 2020
LicenseCC0 1.0
Download121 MB

Summary #

Dataset LinkHomepage

Ship Detection from Aerial Images is a dataset for an object detection task. Possible applications of the dataset could be in the logistics and shipping industries.

The dataset consists of 621 images with 1951 labeled objects belonging to 1 single class (boat).

Images in the Ship Detection from Aerial Images dataset have bounding box annotations. All images are labeled (i.e. with annotations). There are no pre-defined train/val/test splits in the dataset. The dataset was released in 2020.

Dataset Poster

Explore #

Ship Detection from Aerial Images dataset has 621 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
OpenSample annotation mask from Ship Detection from Aerial ImagesSample image from Ship Detection from Aerial Images
👀
Have a look at 621 images
View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Search
Rows 1-1 of 1
Class
Images
Objects
Count on image
average
Area on image
average
boat
rectangle
621
1951
3.14
5.02%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Search
Rows 1-1 of 1
Class
Object count
Avg area
Max area
Min area
Min height
Min height
Max height
Max height
Avg height
Avg height
Min width
Min width
Max width
Max width
boat
rectangle
1951
1.62%
58.99%
0%
2px
0.54%
449px
84.4%
36px
9.97%
2px
0.5%
397px
69.89%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Spatial Heatmap

Objects #

Table contains all 1951 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Search
Rows 1-10 of 1951
Object ID
Class
Image name
click row to open
Image size
height x width
Height
Height
Width
Width
Area
1
boat
rectangle
boat468.png
336 x 358
37px
11.01%
85px
23.74%
2.61%
2
boat
rectangle
boat577.png
420 x 468
129px
30.71%
104px
22.22%
6.83%
3
boat
rectangle
boat76.png
462 x 520
146px
31.6%
132px
25.38%
8.02%
4
boat
rectangle
boat675.png
354 x 362
56px
15.82%
108px
29.83%
4.72%
5
boat
rectangle
boat500.png
498 x 478
237px
47.59%
66px
13.81%
6.57%
6
boat
rectangle
boat419.png
490 x 470
128px
26.12%
116px
24.68%
6.45%
7
boat
rectangle
boat349.png
270 x 272
66px
24.44%
29px
10.66%
2.61%
8
boat
rectangle
boat148.png
384 x 400
207px
53.91%
177px
44.25%
23.85%
9
boat
rectangle
boat361.png
364 x 500
112px
30.77%
124px
24.8%
7.63%
10
boat
rectangle
boat361.png
364 x 500
128px
35.16%
146px
29.2%
10.27%

License #

Ship Detection from Aerial Images is under CC0 1.0 license.

Source

Citation #

If you make use of the Ship Detection from Aerial Images data, please cite the following reference:

@dataset{Ship Detection from Aerial Images,
	author={Andrew Maranhão},
	title={Ship Detection from Aerial Images},
	year={2020},
	url={https://www.kaggle.com/datasets/andrewmvd/ship-detection}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-aerial-ship-detection-dataset,
  title = { Visualization Tools for Ship Detection from Aerial Images Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/aerial-ship-detection } },
  url = { https://datasetninja.com/aerial-ship-detection },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { jul },
  note = { visited on 2024-07-25 },
}

Download #

Dataset Ship Detection from Aerial Images can be downloaded in Supervisely format:

As an alternative, it can be downloaded with dataset-tools package:

pip install --upgrade dataset-tools

… using following python code:

import dataset_tools as dtools

dtools.download(dataset='Ship Detection from Aerial Images', dst_dir='~/dataset-ninja/')

Make sure not to overlook the python code example available on the Supervisely Developer Portal. It will give you a clear idea of how to effortlessly work with the downloaded dataset.

The data in original format can be downloaded here.

. . .

Disclaimer #

Our gal from the legal dep told us we need to post this:

Dataset Ninja provides visualizations and statistics for some datasets that can be found online and can be downloaded by general audience. Dataset Ninja is not a dataset hosting platform and can only be used for informational purposes. The platform does not claim any rights for the original content, including images, videos, annotations and descriptions. Joint publishing is prohibited.

You take full responsibility when you use datasets presented at Dataset Ninja, as well as other information, including visualizations and statistics we provide. You are in charge of compliance with any dataset license and all other permissions. You are required to navigate datasets homepage and make sure that you can use it. In case of any questions, get in touch with us at hello@datasetninja.com.