Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
| vehicle | 45.9 | |
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| car | 39.2 | |
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| wheeled vehicle | 21.4 | |
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| water | 20 | |
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| military vehicle | 18.3 | |
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| wreckage | 16.9 | |
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| part | 16.3 | |
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| transportation | 15.2 | |
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| tracked vehicle | 15.1 | |
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| rubbish | 14.4 | |
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| sand | 14.4 | |
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| auto | 14.3 | |
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| ocean | 14.1 | |
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| sea | 13.3 | |
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| conveyance | 13.2 | |
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| sky | 12.8 | |
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| motor vehicle | 12.7 | |
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| travel | 12 | |
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| automobile | 11.5 | |
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| outdoors | 11.2 | |
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| old | 11.1 | |
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| speed | 11 | |
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| freight car | 10.9 | |
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| metal | 10.5 | |
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| transport | 10 | |
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| half track | 9.9 | |
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| environment | 9.9 | |
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| river | 9.8 | |
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| tank | 9.8 | |
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| urban | 9.6 | |
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| building | 9.5 | |
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| craft | 9.5 | |
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| beach | 9.4 | |
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| hovercraft | 9.3 | |
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| outdoor | 9.2 | |
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| racer | 9 | |
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| broken | 8.7 | |
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| wheel | 8.7 | |
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| scene | 8.6 | |
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| day | 8.6 | |
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| close | 8.6 | |
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| black | 8.4 | |
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| power | 8.4 | |
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| city | 8.3 | |
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| tourism | 8.2 | |
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| sport | 8.2 | |
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| road | 8.1 | |
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| scenery | 8.1 | |
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| wreck | 8.1 | |
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| truck | 8 | |
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| accident | 7.8 | |
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| disaster | 7.8 | |
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| male | 7.8 | |
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| summer | 7.7 | |
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| rusty | 7.6 | |
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| boat | 7.4 | |
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| landscape | 7.4 | |
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| industrial | 7.3 | |
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| armored vehicle | 7.2 | |
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| to | 7.1 | |
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| equipment | 7 | |
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Google
created on 2022-01-22
| Vehicle | 88.9 | |
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| Boat | 88.1 | |
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| Watercraft | 87.8 | |
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| Naval architecture | 87.7 | |
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| Black-and-white | 82.2 | |
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| Water | 77.6 | |
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| Monochrome photography | 77.3 | |
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| Motor vehicle | 77.3 | |
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| Monochrome | 76.1 | |
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| Snapshot | 74.3 | |
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| Classic car | 73 | |
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| Ship | 68.5 | |
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| Stock photography | 64.5 | |
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| Water transportation | 64 | |
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| Automotive design | 60.6 | |
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| Naval ship | 59.5 | |
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| Aviation | 56.8 | |
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| Boating | 53.3 | |
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| Combat vehicle | 51.5 | |
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Microsoft
created on 2022-01-22
| text | 99.3 | |
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| black and white | 91 | |
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| old | 66 | |
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| white | 60.6 | |
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Color Analysis
Feature analysis
Categories
Imagga
| paintings art | 48.2% | |
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| cars vehicles | 34.3% | |
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| food drinks | 12.4% | |
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| text visuals | 2.2% | |
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Captions
Microsoft
created on 2022-01-22
| an old photo of a boat | 42.7% | |
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| old photo of a boat | 40.4% | |
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| an old photo of a plane | 30.3% | |
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Text analysis
Amazon
MOTEL
SHANNON
OID
MI -Y T3RA°2 -XAGOX
MI
-Y
T3RA°2
-XAGOX