Machine Generated Data
Tags
Amazon
created on 2022-03-19
Clarifai
created on 2023-10-29
people | 99.7 | |
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adult | 98 | |
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woman | 96.9 | |
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man | 96.8 | |
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vehicle | 96.5 | |
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monochrome | 95.3 | |
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transportation system | 94.6 | |
| ||
wedding | 94.4 | |
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retro | 92 | |
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watercraft | 91.8 | |
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two | 91 | |
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veil | 90.9 | |
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street | 90.4 | |
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nostalgia | 88.8 | |
| ||
luxury | 88.1 | |
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child | 88 | |
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classic | 87.9 | |
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vintage | 87.7 | |
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chair | 87.5 | |
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illustration | 87.2 | |
|
Imagga
created on 2022-03-19
carousel | 21.4 | |
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device | 17 | |
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ride | 16.2 | |
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old | 14.6 | |
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travel | 14.1 | |
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home appliance | 12.4 | |
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boat | 12.3 | |
| ||
business | 12.1 | |
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mechanical device | 12 | |
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wagon | 12 | |
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appliance | 12 | |
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sea | 11.8 | |
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shop | 11.6 | |
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art | 11.3 | |
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city | 10.8 | |
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design | 10.7 | |
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wheeled vehicle | 10.2 | |
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water | 10 | |
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ship | 9.7 | |
| ||
sky | 9.6 | |
| ||
office | 9.5 | |
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mechanism | 9.3 | |
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sewing machine | 9.1 | |
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monitor | 9 | |
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transportation | 9 | |
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technology | 8.9 | |
| ||
machine | 8.9 | |
| ||
building | 8.8 | |
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architecture | 8.7 | |
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port | 8.7 | |
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television | 8.4 | |
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ocean | 8.3 | |
| ||
transport | 8.2 | |
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religion | 8.1 | |
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object | 8.1 | |
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container | 7.9 | |
| ||
equipment | 7.8 | |
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bookend | 7.8 | |
| ||
screen | 7.6 | |
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house | 7.5 | |
| ||
fun | 7.5 | |
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symbol | 7.4 | |
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textile machine | 7.3 | |
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computer | 7.3 | |
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park | 7.3 | |
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history | 7.2 | |
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snow | 7.1 | |
|
Google
created on 2022-03-19
Watercraft | 91.5 | |
| ||
Black-and-white | 84.3 | |
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Style | 84 | |
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Boat | 83.9 | |
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Font | 81.8 | |
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Motor vehicle | 80.4 | |
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Monochrome photography | 75.1 | |
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Classic | 74.4 | |
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Art | 74.4 | |
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Naval architecture | 74.2 | |
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Machine | 73.1 | |
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Rectangle | 72.3 | |
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Monochrome | 69.3 | |
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Recreation | 68.3 | |
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Advertising | 67.1 | |
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Room | 65.5 | |
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Stock photography | 64.3 | |
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Vintage clothing | 64 | |
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Illustration | 62.5 | |
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Still life photography | 55.3 | |
|
Microsoft
created on 2022-03-19
text | 97.8 | |
| ||
black and white | 72.3 | |
| ||
white | 70.6 | |
| ||
person | 59 | |
| ||
old | 41.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.5% |
Happy | 37.8% |
Calm | 25.2% |
Confused | 24.3% |
Angry | 3.8% |
Surprised | 3.2% |
Disgusted | 3.1% |
Sad | 1.6% |
Fear | 0.9% |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 88.7% | |
| ||
interior objects | 8.2% | |
| ||
food drinks | 1.9% | |
|
Captions
Microsoft
created on 2022-03-19
an old photo of a person | 89.4% | |
| ||
a person sitting in front of a cake | 63.5% | |
| ||
a person sitting in front of a store | 63.4% | |
|
Text analysis
Amazon

FILM

SAFETY FILM

SHOW

SAFETY

KODAK

BOAT

MISSISSIPPI

G10

SHOW
BOAT
G 10
FILM
KODAK
S'AFETY
FILM

SHOW

BOAT

G

10

FILM

KODAK

S'AFETY