Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 99.5 | |
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Human | 99.5 | |
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Person | 99.2 | |
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Clothing | 91.6 | |
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Apparel | 91.6 | |
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Furniture | 83.8 | |
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Text | 78.6 | |
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Meal | 74.9 | |
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Food | 74.9 | |
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People | 69 | |
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Outdoors | 67.9 | |
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Urban | 67.5 | |
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Table | 67 | |
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Poster | 66.4 | |
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Advertisement | 66.4 | |
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Wood | 65.8 | |
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Nature | 65.4 | |
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Sitting | 64 | |
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Tree | 63.4 | |
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Plant | 63.4 | |
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Female | 62.1 | |
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City | 60.7 | |
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Building | 60.7 | |
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Town | 60.7 | |
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Monitor | 57 | |
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Electronics | 57 | |
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Screen | 57 | |
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Display | 57 | |
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Leisure Activities | 56.1 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
deck | 56.9 | |
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boat | 32.9 | |
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sea | 32 | |
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water | 28.7 | |
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ship | 26.2 | |
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vessel | 25.9 | |
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boats | 24.3 | |
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travel | 23.9 | |
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ocean | 23.2 | |
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transportation | 19.7 | |
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harbor | 18.3 | |
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marina | 17.4 | |
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transport | 17.3 | |
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tourism | 16.5 | |
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yacht | 16 | |
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sailing | 15.6 | |
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loom | 15.4 | |
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port | 15.4 | |
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vacation | 14.7 | |
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nautical | 14.6 | |
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machine | 14.1 | |
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summer | 14.1 | |
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sky | 14 | |
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sailboat | 13.7 | |
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bay | 13.2 | |
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industrial | 12.7 | |
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dock | 12.6 | |
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textile machine | 12.6 | |
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man | 12.1 | |
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luxury | 12 | |
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outdoors | 11.9 | |
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beach | 11.8 | |
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newspaper | 11.6 | |
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industry | 11.1 | |
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pier | 10.9 | |
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leisure | 10.8 | |
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cruise | 10.7 | |
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sail | 10.7 | |
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device | 10.2 | |
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holiday | 10 | |
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city | 10 | |
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moored | 9.9 | |
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old | 9.7 | |
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marine | 9.5 | |
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product | 9.2 | |
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tourist | 9.1 | |
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black | 9 | |
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people | 8.9 | |
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work | 8.9 | |
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river | 8.9 | |
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craft | 8.8 | |
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ships | 8.8 | |
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building | 8.8 | |
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wave | 8.6 | |
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construction | 8.6 | |
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journey | 8.5 | |
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power | 8.4 | |
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relaxation | 8.4 | |
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equipment | 8.1 | |
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coast | 8.1 | |
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metal | 8 | |
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yachts | 7.9 | |
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architecture | 7.8 | |
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person | 7.7 | |
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passenger | 7.6 | |
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waves | 7.4 | |
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town | 7.4 | |
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business | 7.3 | |
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sun | 7.2 | |
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creation | 7.1 | |
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steel | 7.1 | |
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Google
created on 2022-01-08
Water | 93.3 | |
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Tree | 87.4 | |
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Black-and-white | 85.9 | |
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Style | 83.9 | |
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Plant | 83 | |
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Adaptation | 79.3 | |
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Hat | 78.6 | |
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Monochrome photography | 74.5 | |
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Monochrome | 73.1 | |
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Art | 71.7 | |
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Boats and boating--Equipment and supplies | 71.4 | |
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Vintage clothing | 69.6 | |
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Room | 66.8 | |
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Recreation | 66 | |
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Stock photography | 63.6 | |
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Crew | 63 | |
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Paper product | 62.9 | |
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Lake | 62.3 | |
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Photographic paper | 60.9 | |
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Photo caption | 60.9 | |
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Microsoft
created on 2022-01-08
text | 99.9 | |
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newspaper | 77.9 | |
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black and white | 64.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 60.6% |
Calm | 97.8% |
Sad | 2.1% |
Happy | 0.1% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 99.9% |
Calm | 100% |
Happy | 0% |
Surprised | 0% |
Sad | 0% |
Disgusted | 0% |
Angry | 0% |
Confused | 0% |
Fear | 0% |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 96% | |
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nature landscape | 3% | |
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Captions
Microsoft
created on 2022-01-08
a man sitting on a boat | 26.8% | |
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a man on a boat | 26.7% | |
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a man in a newspaper | 26.6% | |
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Text analysis
Amazon

28716B.

are

KODAK-SVEELA

287163,
YT37A2-XA

287163,

YT37A2-XA