Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-03-19
washbasin | 68.6 | |
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basin | 60 | |
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vessel | 49.9 | |
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bathroom | 45.3 | |
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room | 37.4 | |
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interior | 34.5 | |
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sink | 32.2 | |
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container | 29.9 | |
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toilet | 25.1 | |
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kitchen | 24.1 | |
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home | 23.9 | |
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modern | 21.7 | |
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furniture | 20.9 | |
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house | 19.2 | |
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bathtub | 17.8 | |
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indoors | 17.6 | |
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luxury | 17.1 | |
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decor | 16.8 | |
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design | 16.3 | |
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bath | 16.1 | |
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faucet | 14.8 | |
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3d | 14.7 | |
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clean | 14.2 | |
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architecture | 14.1 | |
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fixture | 13.9 | |
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plumbing fixture | 13.7 | |
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wash | 13.5 | |
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hygiene | 13.2 | |
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tub | 12.8 | |
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wall | 12 | |
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domestic | 12 | |
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stainless | 11.6 | |
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decoration | 11.6 | |
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indoor | 11 | |
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apartment | 10.5 | |
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hotel | 10.5 | |
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business | 10.3 | |
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floor | 10.2 | |
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inside | 10.1 | |
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tile | 10 | |
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counter | 9.7 | |
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metal | 9.7 | |
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cooking | 9.6 | |
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contemporary | 9.4 | |
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wood | 9.2 | |
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table | 9 | |
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cabinet | 8.9 | |
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appliance | 8.8 | |
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steel | 8.8 | |
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oven | 8.8 | |
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furnishing | 8.8 | |
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washstand | 8.7 | |
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glass | 8.7 | |
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mirror | 8.6 | |
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person | 8.3 | |
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style | 8.2 | |
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water | 8 | |
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chair | 7.9 | |
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food | 7.8 | |
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render | 7.8 | |
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tiles | 7.8 | |
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residential | 7.7 | |
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health | 7.6 | |
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relax | 7.6 | |
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close | 7.4 | |
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steel drum | 7.2 | |
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bowl | 7.1 | |
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stove | 7.1 | |
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wooden | 7 | |
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Google
created on 2022-03-19
Style | 83.8 | |
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Black-and-white | 82.2 | |
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Elbow | 80.1 | |
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Gas | 77.7 | |
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Service | 75 | |
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Cooking | 72.6 | |
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Monochrome photography | 72.5 | |
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Machine | 70.4 | |
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Monochrome | 70.4 | |
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Measuring cup | 68.3 | |
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Room | 64.5 | |
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Human leg | 63.8 | |
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Homemaker | 62.6 | |
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Health care | 61.9 | |
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Sitting | 61.1 | |
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Plumbing fixture | 59.1 | |
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Comfort | 57.9 | |
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Plumbing | 57.2 | |
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Cleaner | 56.9 | |
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Automotive design | 52.6 | |
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Microsoft
created on 2022-03-19
sink | 99.7 | |
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bathroom | 99.1 | |
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indoor | 97.8 | |
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plumbing fixture | 93.6 | |
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tap | 76.4 | |
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kitchen | 72.7 | |
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black and white | 68.6 | |
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countertop | 63.6 | |
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shower | 54.8 | |
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bath | 41.5 | |
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tub | 41.1 | |
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bathtub | 30.7 | |
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kitchen appliance | 10.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 13-21 |
Gender | Male, 93.1% |
Calm | 97.2% |
Sad | 1.2% |
Confused | 0.5% |
Angry | 0.4% |
Happy | 0.2% |
Fear | 0.2% |
Surprised | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 99.3% |
Happy | 77.2% |
Calm | 16.4% |
Sad | 3.1% |
Surprised | 1.5% |
Disgusted | 0.6% |
Fear | 0.4% |
Angry | 0.4% |
Confused | 0.4% |

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 |
Feature analysis
Categories
Imagga
paintings art | 97% | |
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food drinks | 1.5% | |
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interior objects | 1.1% | |
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