Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
shopping cart | 74.3 | |
| ||
handcart | 59.7 | |
| ||
wheeled vehicle | 51.4 | |
| ||
container | 30.4 | |
| ||
sky | 26.1 | |
| ||
water | 21.3 | |
| ||
sea | 17.2 | |
| ||
landscape | 17.1 | |
| ||
conveyance | 17 | |
| ||
old | 16 | |
| ||
ocean | 15.5 | |
| ||
architecture | 14.8 | |
| ||
construction | 14.5 | |
| ||
city | 14.1 | |
| ||
grunge | 13.6 | |
| ||
structure | 13.4 | |
| ||
travel | 13.4 | |
| ||
building | 12.9 | |
| ||
plow | 12.3 | |
| ||
wave | 12.1 | |
| ||
dairy | 11.9 | |
| ||
clouds | 11.8 | |
| ||
sand | 11.4 | |
| ||
beach | 11.4 | |
| ||
summer | 10.9 | |
| ||
tool | 10.9 | |
| ||
river | 10.7 | |
| ||
ship | 10.6 | |
| ||
house | 10 | |
| ||
pier | 9.7 | |
| ||
freight car | 9.6 | |
| ||
winter | 9.4 | |
| ||
holiday | 9.3 | |
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shore | 9.3 | |
| ||
waves | 9.3 | |
| ||
power | 9.2 | |
| ||
tourism | 9.1 | |
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black | 9 | |
| ||
coast | 9 | |
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tower | 8.9 | |
| ||
sun | 8.9 | |
| ||
scene | 8.7 | |
| ||
antique | 8.7 | |
| ||
bay | 8.6 | |
| ||
silhouette | 8.3 | |
| ||
support | 8.2 | |
| ||
sunset | 8.1 | |
| ||
car | 8.1 | |
| ||
light | 8 | |
| ||
trees | 8 | |
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rural | 7.9 | |
| ||
device | 7.9 | |
| ||
business | 7.9 | |
| ||
bridge | 7.9 | |
| ||
coastline | 7.5 | |
| ||
boat | 7.4 | |
| ||
brown | 7.4 | |
| ||
industrial | 7.3 | |
| ||
metal | 7.2 | |
| ||
dirty | 7.2 | |
| ||
road | 7.2 | |
| ||
steel | 7.2 | |
| ||
history | 7.2 | |
| ||
scenic | 7 | |
| ||
season | 7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Disgusted | 49.8% |
Happy | 49.7% |
Sad | 49.6% |
Calm | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Surprised | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.7% |
Surprised | 49.5% |
Disgusted | 49.6% |
Happy | 49.7% |
Calm | 49.8% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.2% |
Calm | 49.6% |
Happy | 49.7% |
Disgusted | 49.6% |
Confused | 49.6% |
Surprised | 49.5% |
Sad | 49.8% |
Angry | 49.7% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Calm | 50.4% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Calm | 49.5% |
Sad | 50.2% |
Surprised | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50% |
Angry | 49.6% |
Sad | 50.1% |
Disgusted | 49.6% |
Calm | 49.6% |
Confused | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Feature analysis
Categories
Imagga
nature landscape | 33.3% | |
| ||
beaches seaside | 28.7% | |
| ||
streetview architecture | 14.6% | |
| ||
paintings art | 11.4% | |
| ||
sunrises sunsets | 3.5% | |
| ||
text visuals | 2.1% | |
| ||
interior objects | 1.6% | |
| ||
cars vehicles | 1.2% | |
| ||
food drinks | 1.2% | |
| ||
macro flowers | 1.1% | |
| ||
events parties | 1.1% | |
|
Captions
Microsoft
created on 2019-06-04
a vintage photo of a train | 74.7% | |
| ||
a black and white photo of a train | 69.2% | |
| ||
an old black and white photo of a train | 67.1% | |
|
Text analysis
Amazon

BATH

10

108

W

PUB

PUB Lis BATH Ne1 10 W 5st Sr HueeN

HueeN

Lis

5st

Ne1

Sr

Clo8
PUBLIC BATH Ne10. W.51 ST. HupsON RINER

Clo8

PUBLIC

Ne10.

W.51

ST.

HupsON

RINER

BATH