Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
people | 99.4 | |
| ||
group | 98.2 | |
| ||
many | 97.1 | |
| ||
no person | 96.3 | |
| ||
vehicle | 95.6 | |
| ||
transportation system | 93.5 | |
| ||
group together | 90.5 | |
| ||
watercraft | 89.6 | |
| ||
industry | 89.4 | |
| ||
89.1 | ||
| ||
man | 84.8 | |
| ||
furniture | 81.6 | |
| ||
adult | 81.4 | |
| ||
war | 79.9 | |
| ||
street | 78.6 | |
| ||
military | 76.7 | |
| ||
grinder | 74.8 | |
| ||
monochrome | 72.1 | |
| ||
commerce | 71.5 | |
| ||
old | 71.4 | |
|
Imagga
created on 2019-06-06
building | 100 | |
| ||
greenhouse | 93.7 | |
| ||
structure | 86.7 | |
| ||
architecture | 37.5 | |
| ||
house | 31.1 | |
| ||
construction | 25.7 | |
| ||
school | 23.3 | |
| ||
sky | 19.1 | |
| ||
city | 18.3 | |
| ||
old | 16.7 | |
| ||
window | 16.5 | |
| ||
water | 16 | |
| ||
home | 16 | |
| ||
industry | 15.4 | |
| ||
steel | 15 | |
| ||
work | 14.6 | |
| ||
roof | 13.7 | |
| ||
travel | 13.4 | |
| ||
wood | 13.3 | |
| ||
urban | 13.1 | |
| ||
exterior | 12.9 | |
| ||
wicker | 12.8 | |
| ||
build | 12.3 | |
| ||
wooden | 12.3 | |
| ||
industrial | 11.8 | |
| ||
factory | 11.7 | |
| ||
residential | 11.5 | |
| ||
new | 11.3 | |
| ||
modern | 11.2 | |
| ||
metal | 10.5 | |
| ||
iron | 10.3 | |
| ||
warehouse | 10.2 | |
| ||
sea | 10.2 | |
| ||
inside | 10.1 | |
| ||
transportation | 9.9 | |
| ||
vacation | 9.8 | |
| ||
interior | 9.7 | |
| ||
landscape | 9.7 | |
| ||
business | 9.1 | |
| ||
tourism | 9.1 | |
| ||
history | 8.9 | |
| ||
scene | 8.7 | |
| ||
floor | 8.4 | |
| ||
frame | 8.3 | |
| ||
ocean | 8.3 | |
| ||
river | 8 | |
| ||
stall | 7.9 | |
| ||
design | 7.9 | |
| ||
wall | 7.9 | |
| ||
product | 7.9 | |
| ||
glass | 7.8 | |
| ||
cloud | 7.8 | |
| ||
tree | 7.7 | |
| ||
outdoor | 7.6 | |
| ||
rattan | 7.6 | |
| ||
brick | 7.5 | |
| ||
site | 7.5 | |
| ||
street | 7.4 | |
| ||
transport | 7.3 | |
| ||
tower | 7.2 | |
| ||
center | 7.1 | |
| ||
trees | 7.1 | |
| ||
rural | 7 | |
|
Google
created on 2019-06-06
Snapshot | 83.3 | |
| ||
Room | 78 | |
| ||
Stock photography | 68.5 | |
| ||
Furniture | 66 | |
| ||
Collection | 60.8 | |
| ||
History | 60.4 | |
| ||
Building | 55.4 | |
|
Microsoft
created on 2019-06-06
indoor | 87.9 | |
| ||
table | 83.2 | |
| ||
black and white | 79 | |
| ||
old | 53.3 | |
| ||
furniture | 43 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-53 |
Gender | Male, 50.2% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 50.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Calm | 50.2% |
Confused | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.2% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 50% |
Surprised | 49.5% |
Happy | 49.6% |
Sad | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Calm | 49.7% |
Surprised | 49.7% |
Happy | 49.5% |
Disgusted | 49.8% |
Angry | 49.6% |
Sad | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50% |
Sad | 49.7% |
Happy | 49.6% |
Surprised | 49.5% |
Disgusted | 49.7% |
Confused | 49.5% |
Calm | 49.9% |
Angry | 49.6% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.3% |
Disgusted | 49.6% |
Happy | 49.6% |
Angry | 49.9% |
Calm | 49.7% |
Surprised | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Feature analysis
Categories
Imagga
streetview architecture | 94.8% | |
| ||
paintings art | 2.7% | |
|
Captions
Microsoft
created on 2019-06-06
an old photo of a building | 73% | |
| ||
an old photo of a store | 66.3% | |
| ||
old photo of a building | 66.2% | |
|
Text analysis
Amazon

o

WOEXHOUPL

ViLw

HAUnDRY- ViLw o WOEXHOUPL

HAUnDRY-

www.s

VIEW

WORXHOU$

-

www.s
VIEW of WORXHOU$
4AUNDRY -

of

4AUNDRY