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
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated.xcf 15.02MB
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated_Cars.png 19.94kB
Potsdam_ISPRS/top_potsdam_5_10_RGB_Annotated_Negatives.png 20.77kB
Potsdam_ISPRS/top_potsdam_6_7_RGB.png 10.36MB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated.xcf 14.99MB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated_Cars.png 19.69kB
Potsdam_ISPRS/top_potsdam_6_7_RGB_Annotated_Negatives.png 21.03kB
Potsdam_ISPRS/top_potsdam_6_8_RGB.png 10.00MB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated.xcf 15.01MB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated_Cars.png 20.00kB
Potsdam_ISPRS/top_potsdam_6_8_RGB_Annotated_Negatives.png 20.68kB
Potsdam_ISPRS/top_potsdam_6_9_RGB.png 9.94MB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated.xcf 15.02MB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated_Cars.png 20.35kB
Potsdam_ISPRS/top_potsdam_6_9_RGB_Annotated_Negatives.png 20.57kB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004.png 524.07MB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated.xcf 1.01GB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated_Cars.png 1.30MB
Selwyn_LINZ/Selwyn_BX22_Tile_LEFT_15cm_0004_Annotated_Negatives.png 1.31MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001.png 311.59MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated.xcf 578.83MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated_Cars.png 1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0001_Annotated_Negatives.png 1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003.png 238.84MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated.xcf 422.24MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated_Cars.png 1.11MB
Selwyn_LINZ/Selwyn_BX22_Tile_RIGHT_15cm_0003_Annotated_Negatives.png 1.11MB
Toronto_ISPRS/03553.png 161.14MB
Toronto_ISPRS/03553_Annotated.xcf 261.69MB
Toronto_ISPRS/03553_Annotated_Cars.png 345.20kB
Toronto_ISPRS/03553_Annotated_Negatives.png 358.66kB
Toronto_ISPRS/03559.png 167.23MB
Toronto_ISPRS/03559_Annotated.xcf 261.75MB
Toronto_ISPRS/03559_Annotated_Cars.png 350.27kB
Toronto_ISPRS/03559_Annotated_Negatives.png 349.79kB
Toronto_ISPRS/03747.png 154.84MB
Toronto_ISPRS/03747_Annotated.xcf 262.42MB
Toronto_ISPRS/03747_Annotated_Cars.png 350.03kB
Toronto_ISPRS/03747_Annotated_Negatives.png 352.59kB
Utah_AGRC/12TVK220980-CROP.png 66.97MB
Utah_AGRC/12TVK220980-CROP_Annotated.xcf 137.71MB
Utah_AGRC/12TVK220980-CROP_Annotated_Cars.png 181.95kB
Utah_AGRC/12TVK220980-CROP_Annotated_Negatives.png 183.44kB
Utah_AGRC/12TVL120100-CROP.png 126.99MB
Utah_AGRC/12TVL120100-CROP_Annotated.xcf 233.24MB
Utah_AGRC/12TVL120100-CROP_Annotated_Cars.png 302.00kB
Utah_AGRC/12TVL120100-CROP_Annotated_Negatives.png 306.43kB
Utah_AGRC/12TVL160640-CROP.png 77.64MB
Utah_AGRC/12TVL160640-CROP_Annotated.xcf 151.98MB
Utah_AGRC/12TVL160640-CROP_Annotated_Cars.png 212.29kB
Utah_AGRC/12TVL160640-CROP_Annotated_Negatives.png 207.85kB
Utah_AGRC/12TVL160660-CROP.png 48.17MB
Utah_AGRC/12TVL160660-CROP_Annotated.xcf 100.55MB
Utah_AGRC/12TVL160660-CROP_Annotated_Cars.png 137.02kB
Utah_AGRC/12TVL160660-CROP_Annotated_Negatives.png 139.98kB
Utah_AGRC/12TVL180140.png 234.93MB
Utah_AGRC/12TVL180140_Annotated.xcf 530.57MB
Utah_AGRC/12TVL180140_Annotated_Cars.png 695.78kB
Utah_AGRC/12TVL180140_Annotated_Negatives.png 703.29kB
Utah_AGRC/12TVL200180.png 254.82MB
Utah_AGRC/12TVL200180_Annotated.xcf 533.64MB
Utah_AGRC/12TVL200180_Annotated_Cars.png 695.51kB
Utah_AGRC/12TVL200180_Annotated_Negatives.png 719.85kB
Utah_AGRC/12TVL220180-CROP.png 94.48MB
Utah_AGRC/12TVL220180-CROP_Annotated.xcf 179.45MB
Utah_AGRC/12TVL220180-CROP_Annotated_Cars.png 232.11kB
Utah_AGRC/12TVL220180-CROP_Annotated_Negatives.png 237.61kB
Utah_AGRC/12TVL220360-CROP.png 129.94MB
Utah_AGRC/12TVL220360-CROP_Annotated.xcf 246.02MB
Utah_AGRC/12TVL220360-CROP_Annotated_Cars.png 318.70kB
Utah_AGRC/12TVL220360-CROP_Annotated_Negatives.png 323.58kB
Utah_AGRC/12TVL240120.png 256.45MB
Utah_AGRC/12TVL240120_Annotated.xcf 526.27MB
Utah_AGRC/12TVL240120_Annotated_Cars.png 735.95kB
Utah_AGRC/12TVL240120_Annotated_Negatives.png 731.47kB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray.png 131.32MB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated.xcf 398.97MB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated_Cars.png 615.94kB
Vaihingen_ISPRS/TOP_Mosaic_09cm_scaled_15cm_Gray_Annotated_Negatives.png 620.57kB
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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