AMOS: Archive of Many Outdoor Scenes
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The Archive of Many Outdoor Scenes (AMOS) dataset contains more than 20
million images taken from over 500 webcameras located around the world, the vast
majority in the United States. Construction of AMOS began in March, 2006 and
continues to this day. This dataset is unique in that it contains images from
significantly more scenes than in previous work.
The cameras in the dataset were selected by a group of graduate and
undergraduate students using a standard web search engine. Images from each
camera are captured several times per hour using a custom web crawler that
ignores duplicate images and records the capture time. The images from all
cameras are 24-bit JPEG files that vary in size from 316 x 240 to 2048 x 1536,
with the majority being 320 x 240.
Locations of the cameras in AMOS that are located in the
continental United States.
A montage image created from all the images from a single
camera. Rows of images correspond to the time of year and columns of images
correspond to the time of day.
A montage of false-color images created using principal
Why collect so many images?
One impetus for collecting these images was to provide a dataset to
enable empirical assessment of our ideas regarding the statistics of
natural scenes captured from static cameras. These statistics have
not been well studied and are of great importance to surveillance
algorithm and application development.
Scene Montage Images
We created a large number (currently 170) of montage images that summarize a
year of images of a scene. More are available via the AMOS flickr
Several subsets of AMOS are available for experimenation:
The dataset details page contains information
about obtaining the complete dataset.
- All the images captured during a one week period in June 2006 for four
cameras: 4, 15, 82, and 190.
- One image captured around noon for many days for cameras 4, 15, 82, and 190:
The following people have contributed to the collection, presentation, and
analysis of the AMOS dataset.
This project is supported under NSF IIS 0546383: "CAREER: Passive Vision,
What Can Be Learned by a Stationary Observer". Any opinions, findings, and
conclusions or recommendations expressed in this material are those of the
author(s) and do not necessarily reflect the views of the National Science
This project also gratefully acknowledges AWS
Convergence Technologies Inc. for allowing us to archive a collection of
images from the weatherbug camera