Machine Generated Data
Tags
Amazon
created on 2022-03-04
Clarifai
created on 2023-10-22
Imagga
created on 2022-03-04
| sky | 23.1 | |
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| structure | 19.9 | |
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| water | 18.7 | |
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| sea | 18 | |
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| trailer | 18 | |
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| travel | 17.6 | |
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| transportation | 17 | |
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| garage | 16.9 | |
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| city | 16.6 | |
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| road | 15.4 | |
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| car | 14.9 | |
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| wheeled vehicle | 14.6 | |
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| transport | 13.7 | |
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| architecture | 13.6 | |
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| urban | 13.1 | |
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| boat | 13 | |
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| vehicle | 13 | |
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| industry | 12.8 | |
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| ocean | 12.6 | |
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| building | 12.4 | |
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| device | 12.3 | |
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| landscape | 11.9 | |
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| canvas tent | 11.4 | |
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| support | 11.3 | |
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| cloud | 11.2 | |
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| bridge | 11 | |
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| chair | 10.1 | |
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| pier | 9.9 | |
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| river | 9.8 | |
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| night | 9.8 | |
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| steel | 9.7 | |
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| fishing | 9.6 | |
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| beach | 9.4 | |
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| shopping cart | 9.4 | |
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| dark | 9.2 | |
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| truck | 9.1 | |
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| metal | 8.9 | |
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| construction | 8.6 | |
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| traffic | 8.5 | |
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| outdoor | 8.4 | |
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| field | 8.4 | |
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| summer | 8.4 | |
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| house | 8.4 | |
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| street | 8.3 | |
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| vacation | 8.2 | |
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| station | 8.1 | |
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| sun | 8 | |
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| grass | 7.9 | |
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| handcart | 7.8 | |
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| harbor | 7.7 | |
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| buildings | 7.6 | |
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| lights | 7.4 | |
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| light | 7.4 | |
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| industrial | 7.3 | |
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| seat | 7.2 | |
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| park | 7.2 | |
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| day | 7.1 | |
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| rural | 7 | |
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Google
created on 2022-03-04
| Black | 89.6 | |
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| Motor vehicle | 87.1 | |
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| Black-and-white | 83.1 | |
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| Rectangle | 76.8 | |
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| Tints and shades | 76.8 | |
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| Asphalt | 76.4 | |
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| Vehicle | 76.4 | |
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| Monochrome photography | 72.4 | |
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| Road surface | 68.8 | |
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| Automotive tire | 67.7 | |
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| Monochrome | 67.3 | |
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| Aviation | 64 | |
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| Machine | 63.8 | |
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| Stock photography | 62.3 | |
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| Road | 61.1 | |
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| Soil | 58.8 | |
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| Automotive wheel system | 58.4 | |
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| Still life photography | 57.7 | |
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| Construction equipment | 57 | |
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| Street | 56.2 | |
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Microsoft
created on 2022-03-04
| text | 99.6 | |
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| black and white | 97.5 | |
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| white | 75.6 | |
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| monochrome | 75.2 | |
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| black | 68.9 | |
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| vehicle | 58.6 | |
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| street | 55.8 | |
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| vintage | 34.5 | |
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| several | 11.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Male, 99.5% |
| Calm | 97.9% |
| Fear | 0.7% |
| Angry | 0.4% |
| Sad | 0.3% |
| Surprised | 0.2% |
| Confused | 0.2% |
| Disgusted | 0.1% |
| Happy | 0.1% |
Feature analysis
Categories
Imagga
| cars vehicles | 99.6% | |
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Captions
Microsoft
created on 2022-03-04
| a vintage photo of a building | 78.9% | |
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| a vintage photo of an old building | 71.4% | |
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| a vintage photo of a large building | 71.3% | |
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Text analysis
Amazon
MAGO
YT3RA2 AGO
主
YT3RA2
AGO
主