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%.png12.48MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated.xcf47.69MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated_Cars.png65.21kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_31.99319028-Oct-2007_11-00-31.993_Frame_1-124%_Annotated_Negatives.png65.94kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%.png12.90MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated.xcf43.69MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated_Cars.png65.49kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_42.40561128-Oct-2007_11-00-47.194_Frame_74-124%_Annotated_Negatives.png66.78kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%.png15.26MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated.xcf47.64MB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated_Cars.png68.31kB
Columbus_CSUAV_AFRL/EO_Run01_s2_301_15_00_52.82681728-Oct-2007_11-01-01.775_Frame_144-124%_Annotated_Negatives.png66.81kB
Potsdam_ISPRS/top_potsdam_2_10_RGB.png9.18MB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated.xcf14.99MB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated_Cars.png19.73kB
Potsdam_ISPRS/top_potsdam_2_10_RGB_Annotated_Negatives.png19.88kB
Potsdam_ISPRS/top_potsdam_2_11_RGB.png9.85MB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated.xcf14.99MB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated_Cars.png19.71kB
Potsdam_ISPRS/top_potsdam_2_11_RGB_Annotated_Negatives.png19.79kB
Potsdam_ISPRS/top_potsdam_2_12_RGB.png10.00MB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated.xcf14.98MB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated_Cars.png19.77kB
Potsdam_ISPRS/top_potsdam_2_12_RGB_Annotated_Negatives.png19.79kB
Potsdam_ISPRS/top_potsdam_2_13_RGB.png10.22MB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated.xcf15.00MB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated_Cars.png19.86kB
Potsdam_ISPRS/top_potsdam_2_13_RGB_Annotated_Negatives.png20.00kB
Potsdam_ISPRS/top_potsdam_2_14_RGB.png10.27MB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated.xcf14.97MB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated_Cars.png19.63kB
Potsdam_ISPRS/top_potsdam_2_14_RGB_Annotated_Negatives.png20.00kB
Potsdam_ISPRS/top_potsdam_3_10_RGB.png9.77MB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated.xcf15.02MB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated_Cars.png19.99kB
Potsdam_ISPRS/top_potsdam_3_10_RGB_Annotated_Negatives.png20.54kB
Potsdam_ISPRS/top_potsdam_3_11_RGB.png9.36MB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated.xcf15.03MB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated_Cars.png19.95kB
Potsdam_ISPRS/top_potsdam_3_11_RGB_Annotated_Negatives.png20.55kB
Potsdam_ISPRS/top_potsdam_3_13_RGB.png9.88MB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated.xcf15.03MB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated_Cars.png20.32kB
Potsdam_ISPRS/top_potsdam_3_13_RGB_Annotated_Negatives.png20.58kB
Potsdam_ISPRS/top_potsdam_4_10_RGB.png10.09MB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated.xcf15.01MB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated_Cars.png19.99kB
Potsdam_ISPRS/top_potsdam_4_10_RGB_Annotated_Negatives.png20.92kB
Potsdam_ISPRS/top_potsdam_5_10_RGB.png8.64MB
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated.xcf15.02MB
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated_Cars.png19.94kB
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated_Negatives.png20.77kB
Potsdam_ISPRS/top_potsdam_6_7_RGB.png10.36MB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated.xcf14.99MB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated_Cars.png19.69kB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated_Negatives.png21.03kB
Potsdam_ISPRS/top_potsdam_6_8_RGB.png10.00MB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated.xcf15.01MB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated_Cars.png20.00kB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated_Negatives.png20.68kB
Potsdam_ISPRS/top_potsdam_6_9_RGB.png9.94MB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated.xcf15.02MB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated_Cars.png20.35kB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated_Negatives.png20.57kB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004.png524.07MB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated.xcf1.01GB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated_Cars.png1.30MB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated_Negatives.png1.31MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001.png311.59MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated.xcf578.83MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated_Cars.png1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated_Negatives.png1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003.png238.84MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated.xcf422.24MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated_Cars.png1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated_Negatives.png1.11MB
Toronto_ISPRS/03553.png161.14MB
Toronto_ISPRS/03553_Annotated.xcf261.69MB
Toronto_ISPRS/03553_Annotated_Cars.png345.20kB
Toronto_ISPRS/03553_Annotated_Negatives.png358.66kB
Toronto_ISPRS/03559.png167.23MB
Toronto_ISPRS/03559_Annotated.xcf261.75MB
Toronto_ISPRS/03559_Annotated_Cars.png350.27kB
Toronto_ISPRS/03559_Annotated_Negatives.png349.79kB
Toronto_ISPRS/03747.png154.84MB
Toronto_ISPRS/03747_Annotated.xcf262.42MB
Toronto_ISPRS/03747_Annotated_Cars.png350.03kB
Toronto_ISPRS/03747_Annotated_Negatives.png352.59kB
Utah_AGRC/12TVK220980-CROP.png66.97MB
Utah_AGRC/12TVK220980-CROP_Annotated.xcf137.71MB
Utah_AGRC/12TVK220980-CROP_Annotated_Cars.png181.95kB
Utah_AGRC/12TVK220980-CROP_Annotated_Negatives.png183.44kB
Utah_AGRC/12TVL120100-CROP.png126.99MB
Utah_AGRC/12TVL120100-CROP_Annotated.xcf233.24MB
Utah_AGRC/12TVL120100-CROP_Annotated_Cars.png302.00kB
Utah_AGRC/12TVL120100-CROP_Annotated_Negatives.png306.43kB
Utah_AGRC/12TVL160640-CROP.png77.64MB
Utah_AGRC/12TVL160640-CROP_Annotated.xcf151.98MB
Utah_AGRC/12TVL160640-CROP_Annotated_Cars.png212.29kB
Utah_AGRC/12TVL160640-CROP_Annotated_Negatives.png207.85kB
Utah_AGRC/12TVL160660-CROP.png48.17MB
Utah_AGRC/12TVL160660-CROP_Annotated.xcf100.55MB
Utah_AGRC/12TVL160660-CROP_Annotated_Cars.png137.02kB
Utah_AGRC/12TVL160660-CROP_Annotated_Negatives.png139.98kB
Utah_AGRC/12TVL180140.png234.93MB
Utah_AGRC/12TVL180140_Annotated.xcf530.57MB
Utah_AGRC/12TVL180140_Annotated_Cars.png695.78kB
Utah_AGRC/12TVL180140_Annotated_Negatives.png703.29kB
Utah_AGRC/12TVL200180.png254.82MB
Utah_AGRC/12TVL200180_Annotated.xcf533.64MB
Utah_AGRC/12TVL200180_Annotated_Cars.png695.51kB
Utah_AGRC/12TVL200180_Annotated_Negatives.png719.85kB
Utah_AGRC/12TVL220180-CROP.png94.48MB
Utah_AGRC/12TVL220180-CROP_Annotated.xcf179.45MB
Utah_AGRC/12TVL220180-CROP_Annotated_Cars.png232.11kB
Utah_AGRC/12TVL220180-CROP_Annotated_Negatives.png237.61kB
Utah_AGRC/12TVL220360-CROP.png129.94MB
Utah_AGRC/12TVL220360-CROP_Annotated.xcf246.02MB
Utah_AGRC/12TVL220360-CROP_Annotated_Cars.png318.70kB
Utah_AGRC/12TVL220360-CROP_Annotated_Negatives.png323.58kB
Utah_AGRC/12TVL240120.png256.45MB
Utah_AGRC/12TVL240120_Annotated.xcf526.27MB
Utah_AGRC/12TVL240120_Annotated_Cars.png735.95kB
Utah_AGRC/12TVL240120_Annotated_Negatives.png731.47kB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray.png131.32MB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated.xcf398.97MB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated_Cars.png615.94kB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated_Negatives.png620.57kB
Type: Dataset
Tags:

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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