The Cars Overhead With Context (COWC)

ground_truth_sets (128 files)
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%.png 12.48MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated.xcf 47.69MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated_Cars.png 65.21kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated_Negatives.png 65.94kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%.png 12.90MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated.xcf 43.69MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated_Cars.png 65.49kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated_Negatives.png 66.78kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%.png 15.26MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated.xcf 47.64MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated_Cars.png 68.31kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated_Negatives.png 66.81kB
Potsdam_ISPRS/top_potsdam_2_10_RGB.png 9.18MB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated.xcf 14.99MB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated_Cars.png 19.73kB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated_Negatives.png 19.88kB
Potsdam_ISPRS/top_potsdam_2_11_RGB.png 9.85MB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated.xcf 14.99MB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated_Cars.png 19.71kB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated_Negatives.png 19.79kB
Potsdam_ISPRS/top_potsdam_2_12_RGB.png 10.00MB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated.xcf 14.98MB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated_Cars.png 19.77kB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated_Negatives.png 19.79kB
Potsdam_ISPRS/top_potsdam_2_13_RGB.png 10.22MB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated.xcf 15.00MB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated_Cars.png 19.86kB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated_Negatives.png 20.00kB
Potsdam_ISPRS/top_potsdam_2_14_RGB.png 10.27MB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated.xcf 14.97MB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated_Cars.png 19.63kB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated_Negatives.png 20.00kB
Potsdam_ISPRS/top_potsdam_3_10_RGB.png 9.77MB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated.xcf 15.02MB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated_Cars.png 19.99kB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated_Negatives.png 20.54kB
Potsdam_ISPRS/top_potsdam_3_11_RGB.png 9.36MB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated.xcf 15.03MB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated_Cars.png 19.95kB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated_Negatives.png 20.55kB
Potsdam_ISPRS/top_potsdam_3_13_RGB.png 9.88MB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated.xcf 15.03MB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated_Cars.png 20.32kB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated_Negatives.png 20.58kB
Potsdam_ISPRS/top_potsdam_4_10_RGB.png 10.09MB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated.xcf 15.01MB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated_Cars.png 19.99kB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated_Negatives.png 20.92kB
Potsdam_ISPRS/top_potsdam_5_10_RGB.png 8.64MB
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Type: Dataset
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Bibtex:
@article{,
title= {The Cars Overhead With Context (COWC)},
journal= {},
author= {},
year= {},
url= {http://gdo-datasci.ucllnl.org/cowc/},
abstract= {The Cars Overhead With Context (COWC) data set is a large set of annotated cars from overhead. It is useful for training a device such as a deep neural network to learn to detect and/or count cars. More information can be obtained by reading our paper here.

The dataset has the following attributes:

(1) Data from overhead at 15 cm per pixel resolution at ground (all data is EO). 

(2) Data from six distinct locations: Toronto Canada, Selwyn New Zealand, Potsdam and Vaihingen Germany, Columbus and Utah United States. 

(3) 32,716 unique annotated cars. 58,247 unique negative examples.

(4) Intentional selection of hard negative examples.

(5) Established baseline for detection and counting tasks.

(6) Extra testing scenes for use after validation.


Data can be downloaded from our FTP server. The data includes wide area imagery with annotations as well as precompiled image sets for training/validation of classification and counting. Examples of the precompiled image sets are seen on the right.

The dataset and research to create this data was done by members of the Computer Vision group within the Computation Engineering Division at Lawrence Livermore National Laboratory under grant from NA-22 in the Global Security Directorate. No Llamas were harmed in the creation of this set.

![](https://i.imgur.com/0dsvDo0.jpg)},
keywords= {},
terms= {},
license= {},
superseded= {}
}

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