Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 98.5 | |
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Human | 98.5 | |
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Person | 93.1 | |
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Chair | 90.9 | |
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Furniture | 90.9 | |
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Office Building | 88.8 | |
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Building | 88.8 | |
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City | 81.6 | |
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Town | 81.6 | |
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Urban | 81.6 | |
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Wheel | 78.4 | |
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Machine | 78.4 | |
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Architecture | 77.6 | |
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High Rise | 77.1 | |
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Condo | 74 | |
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Housing | 74 | |
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Road | 74 | |
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Transportation | 72.2 | |
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Vehicle | 69.9 | |
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Tree | 68 | |
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Plant | 68 | |
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Clothing | 66.8 | |
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Apparel | 66.8 | |
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People | 62.2 | |
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Boat | 60.4 | |
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Musician | 55.4 | |
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Musical Instrument | 55.4 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
city | 65.2 | |
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office | 60 | |
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night | 56.9 | |
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building | 53 | |
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skyscraper | 52.8 | |
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architecture | 49.6 | |
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skyline | 45.6 | |
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cityscape | 43.6 | |
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downtown | 41.3 | |
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business district | 40.5 | |
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urban | 40.2 | |
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tower | 33.1 | |
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modern | 31.6 | |
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center | 31.3 | |
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buildings | 31.2 | |
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business | 27.4 | |
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lights | 26.9 | |
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sky | 26.2 | |
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tall | 25.4 | |
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travel | 24.7 | |
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landmark | 24.4 | |
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financial | 24.1 | |
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skyscrapers | 23.5 | |
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district | 23.3 | |
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street | 21.2 | |
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scene | 19.9 | |
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structure | 19.8 | |
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new | 19.4 | |
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high | 19.1 | |
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dark | 18.4 | |
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river | 17.8 | |
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evening | 17.8 | |
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panorama | 17.2 | |
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metropolis | 16.7 | |
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landscape | 16.4 | |
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construction | 16.3 | |
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light | 15.4 | |
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scenic | 14.9 | |
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finance | 14.4 | |
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dusk | 14.3 | |
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famous | 14 | |
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reflection | 13.3 | |
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window | 12.9 | |
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sunset | 12.6 | |
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apartment | 12.5 | |
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metropolitan | 12.2 | |
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waterfront | 12.1 | |
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town | 12.1 | |
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bridge | 11.2 | |
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tourist | 10.9 | |
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tourism | 10.7 | |
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aerial | 10.7 | |
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windows | 10.6 | |
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hotel | 10.5 | |
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illuminated | 10.5 | |
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destination | 10.3 | |
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glass | 10.1 | |
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twilight | 9.7 | |
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traffic | 9.5 | |
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corporate | 9.5 | |
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commercial | 9.4 | |
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china | 9.4 | |
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road | 9 | |
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design | 9 | |
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water | 8.7 | |
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harbor | 8.7 | |
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exterior | 8.3 | |
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work | 8 | |
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high rise | 7.9 | |
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towers | 7.8 | |
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sea | 7.8 | |
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hall | 7.6 | |
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vacation | 7.4 | |
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plaza | 7.3 | |
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Google
created on 2022-01-09
Building | 95.1 | |
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Window | 92.9 | |
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Tree | 84.7 | |
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Black-and-white | 84.5 | |
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Chair | 82.3 | |
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Rectangle | 80.3 | |
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Font | 77.9 | |
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Tints and shades | 77.3 | |
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Urban design | 76.5 | |
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Monochrome photography | 75.8 | |
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Condominium | 74.9 | |
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Monochrome | 74.5 | |
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House | 73.5 | |
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Motor vehicle | 70.5 | |
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City | 69.9 | |
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Tower block | 69.3 | |
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Room | 67.7 | |
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Facade | 67.7 | |
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Apartment | 65.1 | |
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History | 64.7 | |
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Microsoft
created on 2022-01-09
text | 100 | |
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black and white | 90.4 | |
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skyscraper | 88.5 | |
| ||
building | 87.6 | |
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sky | 87.1 | |
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city | 72 | |
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black | 68.9 | |
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computer | 47.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 16-24 |
Gender | Male, 55.1% |
Happy | 29.9% |
Sad | 26.8% |
Confused | 23.1% |
Calm | 15.1% |
Fear | 2.4% |
Surprised | 1.3% |
Disgusted | 0.9% |
Angry | 0.6% |
Feature analysis
Text analysis
Amazon
43647
MU3--YT3