Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
| ||
People | 99.9 | |
| ||
Person | 95.8 | |
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Baby | 95.8 | |
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Face | 93.3 | |
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Head | 93.3 | |
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Person | 92.8 | |
| ||
Person | 91.6 | |
| ||
Baby | 91.6 | |
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Sun Hat | 90.8 | |
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Crowd | 90.7 | |
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Person | 88.3 | |
| ||
Adult | 88.3 | |
| ||
Male | 88.3 | |
| ||
Man | 88.3 | |
| ||
Person | 86.8 | |
| ||
Person | 84.9 | |
| ||
Person | 84.5 | |
| ||
Person | 84 | |
| ||
Person | 83.9 | |
| ||
Person | 83.8 | |
| ||
Person | 83.7 | |
| ||
Person | 83.7 | |
| ||
Person | 83.1 | |
| ||
Person | 83 | |
| ||
Person | 82.9 | |
| ||
Adult | 82.9 | |
| ||
Male | 82.9 | |
| ||
Man | 82.9 | |
| ||
Person | 80.8 | |
| ||
Person | 80.6 | |
| ||
Person | 79.9 | |
| ||
Person | 79.6 | |
| ||
Person | 78.2 | |
| ||
Person | 77.6 | |
| ||
Person | 77.1 | |
| ||
Cap | 77 | |
| ||
Person | 76 | |
| ||
Person | 74.4 | |
| ||
Person | 73.5 | |
| ||
Person | 72.7 | |
| ||
Person | 70.3 | |
| ||
Audience | 69.3 | |
| ||
Person | 68 | |
| ||
Person | 67.8 | |
| ||
Person | 67.5 | |
| ||
Hat | 66.3 | |
| ||
Person | 65.6 | |
| ||
Person | 65.5 | |
| ||
Person | 65.4 | |
| ||
Person | 65.2 | |
| ||
Person | 63.4 | |
| ||
Person | 62.2 | |
| ||
Person | 62 | |
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Hat | 60.7 | |
| ||
Person | 60.6 | |
| ||
Person | 60.6 | |
| ||
Officer | 55.6 | |
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Baseball Cap | 55.4 | |
| ||
Architecture | 55.2 | |
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Building | 55.2 | |
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Classroom | 55.2 | |
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Indoors | 55.2 | |
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Room | 55.2 | |
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School | 55.2 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
shoe shop | 34.6 | |
| ||
chair | 31.4 | |
| ||
shop | 28.6 | |
| ||
seat | 26.8 | |
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classroom | 26.6 | |
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room | 25.2 | |
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mercantile establishment | 21.2 | |
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support | 17.2 | |
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clothing | 15.2 | |
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place of business | 14.4 | |
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hall | 13.6 | |
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spectator | 13.3 | |
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landscape | 12.6 | |
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brassiere | 12.2 | |
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row | 12.1 | |
| ||
group | 12.1 | |
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empty | 12 | |
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industry | 12 | |
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interior | 11.5 | |
| ||
device | 11.4 | |
| ||
computer | 11.4 | |
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covering | 11.1 | |
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building | 11.1 | |
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business | 10.9 | |
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design | 10.7 | |
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travel | 9.9 | |
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woman's clothing | 9.8 | |
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undergarment | 9.8 | |
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metal | 9.7 | |
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pattern | 9.6 | |
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equipment | 9.5 | |
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water | 9.3 | |
| ||
event | 9.2 | |
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modern | 9.1 | |
| ||
new | 8.9 | |
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technology | 8.9 | |
| ||
garment | 8.8 | |
| ||
audience | 8.8 | |
| ||
consumer goods | 8.6 | |
| ||
furniture | 8.4 | |
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city | 8.3 | |
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many | 8.3 | |
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establishment | 8.3 | |
| ||
lake | 8.2 | |
| ||
outdoors | 8.2 | |
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student | 8.2 | |
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reflection | 8.1 | |
| ||
keyboard | 7.9 | |
| ||
table | 7.8 | |
| ||
construction | 7.7 | |
| ||
crowd | 7.7 | |
| ||
structure | 7.6 | |
| ||
texture | 7.6 | |
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horizontal | 7.5 | |
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restaurant | 7.4 | |
| ||
vacation | 7.4 | |
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dumbbell | 7.2 | |
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summer | 7.1 | |
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steel | 7.1 | |
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surface | 7.1 | |
|
Google
created on 2018-05-10
black | 95.1 | |
| ||
photograph | 95.1 | |
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black and white | 93.5 | |
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monochrome photography | 87.2 | |
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photography | 82 | |
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crowd | 78.1 | |
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monochrome | 76.5 | |
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human behavior | 62.6 | |
| ||
staff | 62.4 | |
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military | 58.5 | |
| ||
troop | 54.7 | |
| ||
military person | 50.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 36-44 |
Gender | Male, 99.9% |
Calm | 81.1% |
Sad | 9.5% |
Surprised | 6.5% |
Fear | 6.5% |
Happy | 2.5% |
Confused | 1.9% |
Disgusted | 0.8% |
Angry | 0.6% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 64.6% |
Calm | 78.3% |
Sad | 25.5% |
Surprised | 6.5% |
Fear | 6.2% |
Confused | 0.3% |
Disgusted | 0.3% |
Happy | 0.2% |
Angry | 0.2% |

AWS Rekognition
Age | 36-44 |
Gender | Male, 100% |
Happy | 85.6% |
Surprised | 7.9% |
Fear | 6.1% |
Calm | 5.8% |
Sad | 2.3% |
Angry | 2% |
Disgusted | 1.9% |
Confused | 0.8% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.9% |
Calm | 42.2% |
Sad | 27.5% |
Surprised | 12.2% |
Confused | 11.6% |
Happy | 8.4% |
Fear | 6.9% |
Angry | 4.3% |
Disgusted | 2.5% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 99.9% |
Calm | 95.8% |
Fear | 6.5% |
Surprised | 6.3% |
Sad | 2.2% |
Confused | 1.8% |
Disgusted | 0.4% |
Happy | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 60-70 |
Gender | Male, 99.9% |
Fear | 32.8% |
Calm | 19% |
Confused | 11.7% |
Surprised | 11% |
Angry | 9.6% |
Happy | 7.3% |
Disgusted | 6.9% |
Sad | 6.2% |

AWS Rekognition
Age | 36-44 |
Gender | Male, 98.1% |
Fear | 83.5% |
Calm | 26.3% |
Surprised | 7.1% |
Sad | 3.1% |
Angry | 1.5% |
Confused | 1.1% |
Happy | 0.8% |
Disgusted | 0.5% |

AWS Rekognition
Age | 47-53 |
Gender | Male, 99% |
Calm | 42.4% |
Confused | 23.8% |
Surprised | 13.4% |
Fear | 12.7% |
Happy | 4% |
Sad | 3.3% |
Disgusted | 2.9% |
Angry | 1.3% |

AWS Rekognition
Age | 50-58 |
Gender | Male, 99.9% |
Calm | 56.8% |
Sad | 20.2% |
Surprised | 9.1% |
Fear | 6.4% |
Happy | 6.1% |
Disgusted | 5.5% |
Confused | 5.3% |
Angry | 3.1% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.6% |
Sad | 93.3% |
Calm | 47.3% |
Fear | 7.9% |
Surprised | 6.5% |
Happy | 0.7% |
Disgusted | 0.6% |
Confused | 0.6% |
Angry | 0.6% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.8% |
Sad | 99.8% |
Calm | 16.4% |
Happy | 8.9% |
Fear | 7% |
Surprised | 6.4% |
Confused | 0.9% |
Disgusted | 0.7% |
Angry | 0.2% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 99.9% |
Calm | 35.3% |
Disgusted | 27.7% |
Fear | 16.6% |
Surprised | 7.5% |
Confused | 5.6% |
Sad | 5% |
Happy | 3.9% |
Angry | 1.8% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 98.2% |
Calm | 93.9% |
Fear | 7.4% |
Surprised | 6.5% |
Sad | 2.3% |
Happy | 0.7% |
Disgusted | 0.3% |
Angry | 0.3% |
Confused | 0.1% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 91% |
Calm | 98% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.6% |
Angry | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 52-60 |
Gender | Male, 100% |
Calm | 83.6% |
Happy | 8.1% |
Surprised | 7.1% |
Fear | 6.2% |
Sad | 2.8% |
Confused | 1.5% |
Disgusted | 1.4% |
Angry | 1% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 100% |
Calm | 61.8% |
Sad | 14.9% |
Surprised | 9.3% |
Fear | 7.9% |
Happy | 6.3% |
Disgusted | 4.1% |
Angry | 1.9% |
Confused | 1.6% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 99% |
Calm | 93.6% |
Surprised | 6.6% |
Fear | 6.1% |
Disgusted | 3% |
Sad | 2.3% |
Happy | 1% |
Confused | 0.3% |
Angry | 0.3% |

AWS Rekognition
Age | 38-46 |
Gender | Male, 98.6% |
Sad | 90.9% |
Calm | 36.5% |
Fear | 9.1% |
Confused | 7.5% |
Surprised | 7% |
Happy | 2.1% |
Disgusted | 1.6% |
Angry | 1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.2% |
Calm | 99.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0.1% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.9% |
Sad | 89.9% |
Calm | 31.5% |
Disgusted | 19.8% |
Surprised | 6.7% |
Fear | 6.6% |
Happy | 1.7% |
Angry | 1.1% |
Confused | 1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 89.2% |
Calm | 98.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Confused | 0.1% |
Angry | 0.1% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 50-58 |
Gender | Female, 71% |
Sad | 99.9% |
Calm | 15.3% |
Surprised | 6.6% |
Fear | 6.4% |
Confused | 1.5% |
Happy | 1% |
Disgusted | 0.6% |
Angry | 0.6% |
Feature analysis
Amazon
Person
Baby
Adult
Male
Man
Hat

Person | 95.8% | |
|

Person | 92.8% | |
|

Person | 91.6% | |
|

Person | 88.3% | |
|

Person | 86.8% | |
|

Person | 84.9% | |
|

Person | 84.5% | |
|

Person | 84% | |
|

Person | 83.9% | |
|

Person | 83.8% | |
|

Person | 83.7% | |
|

Person | 83.7% | |
|

Person | 83.1% | |
|

Person | 83% | |
|

Person | 82.9% | |
|

Person | 80.8% | |
|

Person | 80.6% | |
|

Person | 79.9% | |
|

Person | 79.6% | |
|

Person | 78.2% | |
|

Person | 77.6% | |
|

Person | 77.1% | |
|

Person | 76% | |
|

Person | 74.4% | |
|

Person | 73.5% | |
|

Person | 72.7% | |
|

Person | 70.3% | |
|

Person | 68% | |
|

Person | 67.8% | |
|

Person | 67.5% | |
|

Person | 65.6% | |
|

Person | 65.5% | |
|

Person | 65.4% | |
|

Person | 65.2% | |
|

Person | 63.4% | |
|

Person | 62.2% | |
|

Person | 62% | |
|

Person | 60.6% | |
|

Person | 60.6% | |
|

Baby | 95.8% | |
|

Baby | 91.6% | |
|

Adult | 88.3% | |
|

Adult | 82.9% | |
|

Male | 88.3% | |
|

Male | 82.9% | |
|

Man | 88.3% | |
|

Man | 82.9% | |
|

Hat | 66.3% | |
|

Hat | 60.7% | |
|
Categories
Imagga
paintings art | 55.7% | |
| ||
food drinks | 12.7% | |
| ||
interior objects | 12.6% | |
| ||
streetview architecture | 4.5% | |
| ||
macro flowers | 3.4% | |
| ||
people portraits | 2.8% | |
| ||
nature landscape | 1.9% | |
| ||
events parties | 1.8% | |
| ||
beaches seaside | 1.8% | |
| ||
pets animals | 1.5% | |
|
Captions
Microsoft
created on 2018-05-10
a black and white photo of a crowd | 93.9% | |
| ||
a group of people posing for a photo | 87% | |
| ||
a group of people posing for the camera | 86.9% | |
|
Text analysis
Amazon

College

Art

and

University

of

(Harvard

President and Fellows of Harvard College (Harvard University Art Museums)

Museums)

Fellows

Harvard

President

P1970.3994.0000

O President and Fellows of Harvard College (Harvard University Art Museums)
P1970.3994.0000

O

President

and

Fellows

of

Harvard

College

(Harvard

University

Art

Museums)

P1970.3994.0000