Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
fruit | 46 | |
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food | 40.3 | |
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healthy | 29 | |
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juicy | 26.4 | |
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fresh | 24.2 | |
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close | 24 | |
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sweet | 23.7 | |
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tasty | 21.7 | |
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vitamin | 21.1 | |
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object | 20.5 | |
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diet | 20.2 | |
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eating | 19.3 | |
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freshness | 19.1 | |
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citrus | 18.7 | |
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eat | 18.4 | |
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delicious | 18.2 | |
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ripe | 18.1 | |
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orange | 18 | |
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organic | 16.8 | |
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kiwi | 16.2 | |
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health | 16 | |
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color | 15.6 | |
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snack | 15.4 | |
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edible fruit | 15 | |
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single | 14.8 | |
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natural | 14.7 | |
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meal | 14.6 | |
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vegetarian | 14.3 | |
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closeup | 14.1 | |
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taste | 13.9 | |
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tropical | 13.6 | |
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nutrition | 13.4 | |
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muskmelon | 13 | |
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round | 12.9 | |
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yellow | 12.6 | |
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brown | 12.5 | |
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dessert | 12.3 | |
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gourmet | 11.9 | |
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melon | 11.5 | |
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produce | 11.5 | |
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ingredient | 11.4 | |
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nobody | 10.9 | |
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cut | 10.8 | |
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breakfast | 10.6 | |
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one | 10.5 | |
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dieting | 10.3 | |
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exotic | 10 | |
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light bulb | 9.8 | |
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juice | 9.5 | |
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fruits | 9.4 | |
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egg | 9.3 | |
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coconut | 9.3 | |
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refreshment | 9.1 | |
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circle | 8.7 | |
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shiny | 8.7 | |
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bright | 8.6 | |
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piece | 8.5 | |
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seed | 8.5 | |
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two | 8.5 | |
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gold | 8.2 | |
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net melon | 8.1 | |
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raw | 8 | |
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celebration | 8 | |
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decoration | 7.9 | |
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electric lamp | 7.9 | |
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peel | 7.8 | |
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half | 7.7 | |
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ball | 7.7 | |
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whole | 7.6 | |
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studio | 7.6 | |
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traditional | 7.5 | |
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slice | 7.3 | |
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pear | 7.2 | |
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skin | 7.1 | |
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seasonal | 7 | |
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Google
created on 2022-01-08
Face | 98.5 | |
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Head | 97.2 | |
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Jaw | 87.7 | |
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Art | 81.4 | |
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Handwriting | 81.2 | |
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Facial hair | 79 | |
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Oval | 78 | |
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Suit | 76.1 | |
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Tints and shades | 71.3 | |
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Circle | 68.7 | |
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Font | 64.4 | |
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Collar | 64.4 | |
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Moustache | 64.3 | |
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Vintage clothing | 61.3 | |
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Collectable | 60.7 | |
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Formal wear | 59.6 | |
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History | 56.8 | |
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Paper product | 56.1 | |
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Drawing | 54.6 | |
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Illustration | 54.3 | |
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Microsoft
created on 2022-01-08
text | 99.6 | |
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human face | 97 | |
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person | 90.6 | |
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man | 88.1 | |
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handwriting | 60.8 | |
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clothing | 52.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 34-42 |
Gender | Male, 99.9% |
Calm | 90.9% |
Sad | 4% |
Confused | 2.7% |
Disgusted | 0.8% |
Angry | 0.6% |
Fear | 0.4% |
Surprised | 0.4% |
Happy | 0.2% |
Microsoft Cognitive Services
Age | 45 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Person | 98.1% | |
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