Overhead Imagery Research Data Set
Encyclopedia
The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision
researchers can use to aid in the development of algorithms. Most computer vision and machine learning algorithms function by training on a large set of example data. 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
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
or Google Maps
is copyrighted or may have limited use.
of these images are color RGB images. The annotations that describe the images are documented in detail in.
include image context for many detection and classification problems. While researchers are encouraged to provide those annotations, they are not currently provided.
Links to some sources of OIRDS imagery
Other Links
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions...
researchers can use to aid in the development of algorithms. Most computer vision and machine learning algorithms function by training on a large set of example data. 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
Internet
The Internet is a global system of interconnected computer networks that use the standard Internet protocol suite to serve billions of users worldwide...
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
Google Earth is a virtual globe, map and geographical information program that was originally called EarthViewer 3D, and was created by Keyhole, Inc, a Central Intelligence Agency funded company acquired by Google in 2004 . It maps the Earth by the superimposition of images obtained from satellite...
or Google Maps
Google Maps
Google Maps is a web mapping service application and technology provided by Google, free , that powers many map-based services, including the Google Maps website, Google Ride Finder, Google Transit, and maps embedded on third-party websites via the Google Maps API...
is copyrighted or may have limited use.
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 of USGS and VIVID images. Allof these images are color RGB images. The annotations that describe the images are documented in detail in.
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 visionComputer vision
Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions...
include image context for many detection and classification problems. While researchers are encouraged to provide those annotations, they are not currently provided.
External links
Links to Data Sets- http://oirds.sourceforge.net/ - OIRDS Homepage (Includes download)
- http://www.vision.caltech.edu/Image_Datasets/Caltech101/ - Caltech 101Caltech 101Caltech 101 is a dataset of digital images created in September, 2003, 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 research and techniques. It is most applicable to...
Homepage (Includes download) - http://www.vision.caltech.edu/Image_Datasets/Caltech256/ - Caltech 256 Homepage (Includes download)
- http://labelme.csail.mit.edu/ - LabelMeLabelMeLabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory which provides a dataset of digital images with annotations. The dataset is dynamic, free to use, and open to public contribution. The most applicable use of LabelMe is in computer vision research...
Homepage
Links to some sources of OIRDS imagery
- United States Geologic 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