Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 98.7 | |
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Human | 98.7 | |
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Person | 97.5 | |
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Person | 97.4 | |
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Person | 95 | |
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Interior Design | 90.4 | |
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Indoors | 90.4 | |
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Person | 89.2 | |
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Restaurant | 89.2 | |
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Person | 84.5 | |
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Meal | 84.2 | |
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Food | 84.2 | |
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Person | 83 | |
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Person | 82.3 | |
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Clothing | 80.8 | |
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Apparel | 80.8 | |
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Person | 77.8 | |
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Person | 77.4 | |
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Cafeteria | 70.8 | |
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Crowd | 68.9 | |
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Cafe | 68.3 | |
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Person | 62.9 | |
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Dish | 61.5 | |
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Room | 60.5 | |
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People | 57.7 | |
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Plant | 56.5 | |
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Classroom | 56.5 | |
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School | 56.5 | |
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Food Court | 56.1 | |
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Audience | 55.2 | |
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Person | 52.3 | |
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Clarifai
created on 2023-10-26
people | 99.7 | |
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many | 99.4 | |
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group | 99 | |
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group together | 97.9 | |
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crowd | 95.2 | |
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woman | 94.2 | |
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adult | 93.5 | |
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music | 93.3 | |
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man | 92.7 | |
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monochrome | 92.2 | |
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indoors | 91.3 | |
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vehicle | 84.4 | |
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street | 84.1 | |
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administration | 83.9 | |
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room | 80.8 | |
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war | 79.3 | |
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wear | 78.6 | |
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recreation | 78.5 | |
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child | 77.7 | |
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several | 77.7 | |
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Imagga
created on 2022-01-22
architecture | 37.8 | |
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city | 35.7 | |
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building | 35.7 | |
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urban | 33.2 | |
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stage | 33.1 | |
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night | 31.9 | |
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platform | 25.2 | |
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buildings | 20.8 | |
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hall | 20.2 | |
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cityscape | 19.8 | |
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light | 19.4 | |
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plaza | 19.1 | |
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bridge | 19.1 | |
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skyline | 19 | |
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structure | 18.6 | |
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lights | 18.5 | |
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industrial | 17.2 | |
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river | 16.9 | |
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travel | 16.9 | |
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sky | 16.6 | |
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modern | 16.1 | |
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water | 16 | |
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illuminated | 15.2 | |
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cockpit | 15 | |
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tourism | 14.8 | |
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industry | 14.5 | |
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steel | 14.1 | |
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construction | 13.7 | |
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dark | 13.4 | |
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street | 12.9 | |
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tourist | 12.7 | |
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road | 12.6 | |
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landmark | 12.6 | |
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downtown | 12.5 | |
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center | 12.4 | |
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business | 12.1 | |
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transport | 11.9 | |
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old | 11.8 | |
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transportation | 11.6 | |
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skyscraper | 11.6 | |
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traffic | 11.4 | |
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stall | 11.4 | |
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window | 11.3 | |
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famous | 11.2 | |
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tower | 10.7 | |
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district | 10.7 | |
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reflection | 10.7 | |
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factory | 10.6 | |
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metal | 10.5 | |
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scene | 10.4 | |
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office | 10.4 | |
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greenhouse | 10.1 | |
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station | 10 | |
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windows | 9.6 | |
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panorama | 9.5 | |
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evening | 9.3 | |
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metropolitan | 9.3 | |
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power | 9.2 | |
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cars | 8.8 | |
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twilight | 8.7 | |
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black | 8.4 | |
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silhouette | 8.3 | |
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new | 8.1 | |
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interior | 8 | |
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metropolis | 7.8 | |
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skyscrapers | 7.8 | |
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glass | 7.8 | |
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roof | 7.7 | |
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ocean | 7.5 | |
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town | 7.4 | |
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car | 7.1 | |
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sea | 7 | |
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Google
created on 2022-01-22
Black-and-white | 85.3 | |
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Style | 84 | |
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Hat | 79.4 | |
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Monochrome | 75.2 | |
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Monochrome photography | 75.1 | |
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Snapshot | 74.3 | |
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Event | 72.2 | |
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Crowd | 69.9 | |
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Art | 66.4 | |
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Font | 63.9 | |
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Stock photography | 62.9 | |
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Room | 62.7 | |
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History | 62.1 | |
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Hoodie | 53.9 | |
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Photographic paper | 51.8 | |
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Metal | 51 | |
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Microsoft
created on 2022-01-22
text | 98.3 | |
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black and white | 80.9 | |
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person | 63.2 | |
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clothing | 50.5 | |
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Color Analysis
Feature analysis
Amazon
Person | 98.7% | |
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Text analysis
Amazon
God
For
We
Country
and
For God and Country We Associate Ourselves Together.
Associate
Ourselves
Spring
Showing
Together.
3
FRIGIDAIRE
169
Stay
Stay Socurity
Socurity
For God and Country We Associate Ourselves Together.
169
For
God
and
Country
We
Associate
Ourselves
Together.
169