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Overhead Imagery Research Data Set
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Overhead Imagery Research Data Set : ウィキペディア英語版
Overhead Imagery Research Data Set

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.〔(Overhead Imagery Research Data Set (OIRDS) – an annotated data library & tools to aid in the development of computer vision algorithms )〕 Most computer vision and machine learning algorithms function by training on a large set of example data.〔Caltech 101 Wikipedia article, Caltech 101〕 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.〔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 of (USGS ) and (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)〕

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