Machine Generated Data
Tags
Amazon
created on 2022-06-03
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-03
billboard | 45.9 | |
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signboard | 36.8 | |
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structure | 35.9 | |
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web site | 27.6 | |
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wagon | 24 | |
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old | 22.3 | |
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drawing | 21.8 | |
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architecture | 20.3 | |
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vintage | 19.9 | |
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sketch | 17.6 | |
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building | 17.5 | |
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wheeled vehicle | 17.3 | |
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sky | 17.2 | |
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retro | 17.2 | |
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grunge | 17 | |
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design | 16.3 | |
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city | 15 | |
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construction | 14.5 | |
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dirty | 14.5 | |
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house | 14.2 | |
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business | 14 | |
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film | 13.5 | |
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paper | 13.3 | |
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winter | 12.8 | |
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black | 12.6 | |
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frame | 12.5 | |
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snow | 12.2 | |
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travel | 12 | |
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technology | 11.9 | |
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facility | 11.8 | |
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plan | 11.3 | |
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vehicle | 11.2 | |
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cold | 11.2 | |
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landscape | 11.2 | |
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urban | 10.5 | |
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engineering | 10.5 | |
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container | 10.4 | |
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gymnasium | 10.3 | |
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negative | 9.8 | |
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trees | 9.8 | |
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project | 9.6 | |
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pattern | 9.6 | |
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antique | 9.5 | |
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art | 9.5 | |
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space | 9.3 | |
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transport | 9.1 | |
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rough | 9.1 | |
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transportation | 9 | |
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graphic | 8.8 | |
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text | 8.7 | |
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architect | 8.7 | |
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damaged | 8.6 | |
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industry | 8.5 | |
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ice | 8.3 | |
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exterior | 8.3 | |
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silhouette | 8.3 | |
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office | 8.3 | |
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athletic facility | 8.3 | |
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paint | 8.2 | |
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digital | 8.1 | |
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computer | 8 | |
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home | 8 | |
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scene | 7.8 | |
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color | 7.8 | |
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stamp | 7.7 | |
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modern | 7.7 | |
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7.7 | ||
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texture | 7.6 | |
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dirt | 7.6 | |
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grungy | 7.6 | |
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symbol | 7.4 | |
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window | 7.4 | |
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street | 7.4 | |
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screen | 7.3 | |
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letter | 7.3 | |
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industrial | 7.3 | |
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border | 7.2 | |
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landmark | 7.2 | |
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history | 7.2 | |
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slick | 7.1 | |
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season | 7 | |
|
Google
created on 2022-06-03
Adaptation | 79.3 | |
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Font | 79.1 | |
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Chair | 75.6 | |
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Art | 73.7 | |
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History | 66.5 | |
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Visual arts | 65.3 | |
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Illustration | 64.4 | |
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Room | 63.4 | |
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Stock photography | 62.9 | |
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Paper product | 60.7 | |
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Holy places | 52.6 | |
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Urban design | 50.7 | |
|
Microsoft
created on 2022-06-03
text | 100 | |
| ||
indoor | 85.6 | |
| ||
furniture | 75.3 | |
| ||
screenshot | 36.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-24 |
Gender | Male, 93.9% |
Calm | 94.8% |
Surprised | 6.3% |
Fear | 6% |
Sad | 3.4% |
Confused | 0.7% |
Angry | 0.4% |
Happy | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 91.3% |
Sad | 100% |
Surprised | 6.4% |
Fear | 6.1% |
Calm | 4.2% |
Confused | 3.2% |
Disgusted | 0.8% |
Angry | 0.4% |
Happy | 0.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.8% |
Calm | 53.6% |
Sad | 37.6% |
Happy | 8.8% |
Surprised | 7.5% |
Fear | 6.7% |
Disgusted | 3.7% |
Angry | 3.2% |
Confused | 3.2% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.5% |
Happy | 86.5% |
Surprised | 7% |
Fear | 6.1% |
Calm | 5.9% |
Sad | 2.7% |
Disgusted | 2% |
Angry | 1.4% |
Confused | 0.6% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 97.4% |
Calm | 82.8% |
Sad | 13.5% |
Surprised | 6.5% |
Fear | 6% |
Disgusted | 0.9% |
Confused | 0.8% |
Angry | 0.7% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 95% |
Sad | 72.2% |
Calm | 57.7% |
Surprised | 6.8% |
Fear | 6% |
Disgusted | 3.3% |
Confused | 2.4% |
Happy | 1.1% |
Angry | 0.6% |

AWS Rekognition
Age | 9-17 |
Gender | Male, 64.1% |
Sad | 83.2% |
Calm | 41% |
Confused | 15.3% |
Surprised | 6.7% |
Fear | 6.1% |
Angry | 2.3% |
Disgusted | 1.9% |
Happy | 0.2% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 80.3% |
Fear | 94.3% |
Calm | 8.4% |
Surprised | 6.7% |
Sad | 4.7% |
Disgusted | 0.7% |
Angry | 0.5% |
Confused | 0.5% |
Happy | 0.4% |

AWS Rekognition
Age | 18-26 |
Gender | Male, 98.8% |
Calm | 98.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Angry | 0.3% |
Disgusted | 0.2% |
Happy | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 88.1% |
Fear | 68.8% |
Happy | 27.4% |
Surprised | 7% |
Calm | 6.2% |
Angry | 4.2% |
Sad | 3.4% |
Confused | 2.2% |
Disgusted | 2.2% |
Feature analysis
Categories
Imagga
text visuals | 33.2% | |
| ||
nature landscape | 25% | |
| ||
streetview architecture | 20.4% | |
| ||
cars vehicles | 12.7% | |
| ||
beaches seaside | 5.5% | |
| ||
paintings art | 2.2% | |
|
Captions
Text analysis
Amazon

Industrial

Negro

Training

of

Normal

Agencies

and

for

Agencies Promoting Assimilation of the Negro

Training for Commercial and Industrial Employment

the

Class

in

Hampton Normal and Agricultural Institute, Hampton, Va.

Promoting

Hampton

Agricultural

Institute,

Va.

Employment

Assimilation

Hampton,

Commercial

Class in Propagation

176)

Class in Laboratory

Propagation

Laboratory

04-5-14

de

(176)
Agencies Promoting Assimilation of the Negro
Training for Commercial and Industrial Employment
Hampton Normal and Agricultural Institute, Hampton, Va.
Class in Propagation
Class in Laboratory
6658
4R-19 141.5-34
41

(

176

)

Agencies

Promoting

Assimilation

of

the

Negro

Training

for

Commercial

and

Industrial

Employment

Hampton

Normal

Agricultural

Institute

,

Va

.

Class

in

Propagation

Laboratory

6658

4R

-

19

141.5-34

41