The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that
computer vision
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the hum ...
researchers can use to aid in the development of algorithms.
[Overhead Imagery Research Data Set (OIRDS) – an annotated data library & tools to aid in the development of computer vision algorithms](_blank)
/ref> Most computer vision and machine learning algorithms function by training on a large set of example data.[Caltech 101 Wikipedia article, ]Caltech 101
Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate Computer Vision res ...
Further, for many academic and industry researchers, the availability of truth-labeled test data helps drive algorithm research.
While a great deal of terrestrial imagery is available on the Internet
The Internet (or internet) is the global system of interconnected computer networks that uses the Internet protocol suite (TCP/IP) to communicate between networks and devices. It is a '' network of networks'' that consists of private, pub ...
from various sources, there are few (if any) repositories of overhead imagery. The limited overhead imagery that is found via sources such as Google Earth
Google Earth is a computer program that renders a 3D computer graphics, 3D representation of Earth based primarily on satellite imagery. The program maps the Earth by superimposition, superimposing satellite images, aerial photography, and geog ...
or Google Maps
Google Maps is a web mapping platform and consumer application offered by Google. It offers satellite imagery, aerial photography, street maps, 360° interactive panoramic views of streets ( Street View), real-time traffic conditions, and rou ...
is copyrighted or may have limited use.[Google Permissions – http://www.google.com/permissions/geoguidelines.html]
Vehicle Data Set
The initial ~1,000 images in the OIRDS is focused on an Automatic Target Detection (ATD) task for passenger vehicles. Passenger vehicles in the OIRDS consist of cars, trucks, vans, & pick-ups. The vehicle data set is composed o
USGS
an
VIVID
images. All
of these images are color RGB images. The annotations that describe the images are documented in detail in.[F. Tanner, B. Colder, C. Pullen, D. Heagy, C. Oertel, & P. Sallee, ''Overhead Imagery Research Data Set (OIRDS) – an annotated data library and tools to aid in the development of computer vision algorithms'', June 2009, <> (8 June 2009)]
Current status
OIRDS v1.0 was released in September, 2009. This version contains ~900 annotated images with ~1800 targets identified.
Limitations
The current OIRDS data set only has vehicle annotations. It does not include other target types. Additionally, recent trends in computer vision
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the hum ...
include image context for many detection and classification problems. While researchers are encouraged to provide those annotations, they are not currently provided.
See also
* Comparison of datasets in machine learning
These datasets are applied for machine learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning ...
References
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External links
Links to Data Sets
* https://sourceforge.net/projects/oirds/ – OIRDS Homepage (Includes download)
* http://www.vision.caltech.edu/Image_Datasets/Caltech101/ – Caltech 101
Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate Computer Vision res ...
Homepage (Includes download)
* http://www.vision.caltech.edu/Image_Datasets/Caltech256/ – Caltech 256 Homepage (Includes download)
* http://labelme.csail.mit.edu/ – LabelMe
LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) which provides a dataset of digital images with annotations. The dataset is dynamic, free to use, and open to public contribution. The most ap ...
Homepage
Links to some sources of OIRDS imagery
United States Geological Survey
website – source of a majority of the vehicle data set imagery.
DARPA VIVID Program
website – source of a small portion of the vehicle data set imagery.
Other Links
CVPR 2009
website where OIRDS was demonstrated
AIPR-Workshop 2009
website where some OIRDS work was published
Datasets in computer vision