Machine Generated Data
Tags
Amazon
created on 2023-10-24
Clarifai
created on 2018-10-05
Imagga
created on 2018-10-05
negative | 21.2 | |
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reflection | 21.1 | |
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film | 18.4 | |
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ice | 17.4 | |
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cold | 17.2 | |
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close | 14.8 | |
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clear | 14.8 | |
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glass | 14.2 | |
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splash | 13.7 | |
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photographic paper | 13.5 | |
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cool | 13.3 | |
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refrigerator | 13.1 | |
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water | 12.7 | |
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transparent | 12.5 | |
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wet | 12.5 | |
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frost | 12.5 | |
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decoration | 12.3 | |
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drop | 11.8 | |
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object | 11.7 | |
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refresh | 11.7 | |
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cubes | 11.6 | |
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frozen | 11.4 | |
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liquid | 11.3 | |
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purity | 11.1 | |
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freezer | 10.8 | |
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melt | 10.8 | |
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silver | 10.6 | |
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aqua | 10.5 | |
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drops | 10.4 | |
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creation | 10.2 | |
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clean | 10 | |
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refreshment | 10 | |
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representation | 9.9 | |
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chill | 9.8 | |
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icy | 9.8 | |
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food | 9.7 | |
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business | 9.7 | |
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droplet | 9.7 | |
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mirror | 9.5 | |
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shiny | 9.5 | |
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people | 9.5 | |
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closeup | 9.4 | |
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life | 9.4 | |
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holiday | 9.3 | |
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solid | 9.3 | |
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hand | 9.1 | |
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square | 9 | |
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photographic equipment | 9 | |
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ice cube | 8.9 | |
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shape | 8.9 | |
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slippery | 8.9 | |
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melting | 8.8 | |
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h2o | 8.8 | |
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refraction | 8.8 | |
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objects | 8.7 | |
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luxury | 8.6 | |
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money | 8.5 | |
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brick | 8.5 | |
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finance | 8.4 | |
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bank | 8.4 | |
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old | 8.4 | |
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drink | 8.3 | |
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frame | 8.3 | |
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smooth | 8.2 | |
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man | 8.1 | |
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celebration | 8 | |
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picture | 7.9 | |
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ice cubes | 7.9 | |
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frigid | 7.9 | |
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crystals | 7.9 | |
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work | 7.8 | |
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azure | 7.8 | |
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flowers | 7.8 | |
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table | 7.8 | |
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person | 7.8 | |
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modern | 7.7 | |
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elegant | 7.7 | |
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art | 7.6 | |
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human | 7.5 | |
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technology | 7.4 | |
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symbol | 7.4 | |
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design | 7.3 | |
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backgrounds | 7.3 | |
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office | 7.2 | |
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crystal | 7.2 | |
|
Google
created on 2018-10-05
black and white | 92.6 | |
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text | 86.4 | |
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water | 83.3 | |
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photography | 80.2 | |
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monochrome photography | 78 | |
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monochrome | 71 | |
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product | 53 | |
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font | 52 | |
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Microsoft
created on 2018-10-05
refrigerator | 99.1 | |
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furniture | 88 | |
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indoor | 86.1 | |
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appliance | 83 | |
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open | 62.8 | |
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white goods | 53.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Female, 53.8% |
Calm | 90% |
Surprised | 6.5% |
Fear | 5.9% |
Disgusted | 4.6% |
Sad | 3.4% |
Happy | 0.8% |
Confused | 0.4% |
Angry | 0.4% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 96.5% |
Calm | 47.4% |
Sad | 38.3% |
Happy | 24.5% |
Surprised | 6.7% |
Fear | 6.1% |
Confused | 1.3% |
Disgusted | 1.2% |
Angry | 0.7% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 81.2% |
Calm | 93.9% |
Surprised | 6.5% |
Fear | 6% |
Sad | 2.5% |
Happy | 2.1% |
Disgusted | 1.2% |
Confused | 0.8% |
Angry | 0.3% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 99.4% |
Happy | 75.1% |
Disgusted | 10.1% |
Sad | 7.3% |
Surprised | 6.9% |
Fear | 6.1% |
Confused | 1.9% |
Angry | 1.2% |
Calm | 1.1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 66.4% |
Calm | 35.4% |
Disgusted | 35.4% |
Fear | 10.4% |
Happy | 10.2% |
Surprised | 6.9% |
Sad | 4.3% |
Confused | 2.9% |
Angry | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 69.4% |
Disgusted | 30.7% |
Happy | 24.7% |
Calm | 16.3% |
Angry | 9.8% |
Fear | 9.4% |
Surprised | 7.4% |
Confused | 5% |
Sad | 3.7% |
Feature analysis
Categories
Imagga
paintings art | 47.5% | |
| ||
pets animals | 38.4% | |
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interior objects | 13% | |
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food drinks | 0.5% | |
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people portraits | 0.2% | |
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text visuals | 0.2% | |
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streetview architecture | 0.1% | |
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Captions
Microsoft
created on 2018-10-05
an open refrigerator | 30.9% | |
|
Text analysis
Amazon

FILM

KODAK

SAFETY

5063

KODAK SAFETY FILM 5063

ЗА

BA

5

9

6A

SA

3

.M 5063

E

7A

.M