Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
horse | 70.9 | |
| ||
animal | 43.3 | |
| ||
horses | 41 | |
| ||
animals | 35.3 | |
| ||
mammal | 33.3 | |
| ||
farm | 33.1 | |
| ||
elephant | 30.4 | |
| ||
equine | 28.6 | |
| ||
brown | 27.3 | |
| ||
cowboy | 24.9 | |
| ||
grass | 23.8 | |
| ||
mare | 23.6 | |
| ||
stallion | 23.5 | |
| ||
leading rein | 22.2 | |
| ||
ranch | 21.9 | |
| ||
thoroughbred | 20.7 | |
| ||
mane | 20.6 | |
| ||
field | 20.1 | |
| ||
rein | 18.4 | |
| ||
pasture | 18.2 | |
| ||
trainer | 18.2 | |
| ||
equestrian | 17.7 | |
| ||
rural | 17.7 | |
| ||
riding | 16.6 | |
| ||
wildlife | 16.1 | |
| ||
sport | 15.7 | |
| ||
outdoors | 15 | |
| ||
fence | 14.6 | |
| ||
meadow | 14.4 | |
| ||
strap | 14.2 | |
| ||
horseback | 13.8 | |
| ||
saddle | 13.7 | |
| ||
mammals | 13.7 | |
| ||
wild | 13.1 | |
| ||
livestock | 12.6 | |
| ||
safari | 12.5 | |
| ||
rider | 11.8 | |
| ||
herd | 11.8 | |
| ||
ride | 11.7 | |
| ||
bridle | 11.4 | |
| ||
pet | 11 | |
| ||
summer | 11 | |
| ||
country | 10.6 | |
| ||
male | 10.1 | |
| ||
colt | 9.9 | |
| ||
stable | 9.9 | |
| ||
family | 9.8 | |
| ||
tail | 9.6 | |
| ||
leather strip | 9.5 | |
| ||
walking | 9.5 | |
| ||
park | 9.1 | |
| ||
sky | 8.9 | |
| ||
tusk | 8.9 | |
| ||
barn | 8.9 | |
| ||
vertebrate | 8.8 | |
| ||
trunk | 8.7 | |
| ||
bull | 8.5 | |
| ||
black | 8.4 | |
| ||
national | 8.2 | |
| ||
foal | 8.1 | |
| ||
trees | 8 | |
| ||
elephants | 7.9 | |
| ||
grazing | 7.9 | |
| ||
western | 7.8 | |
| ||
pets | 7.7 | |
| ||
head | 7.6 | |
| ||
countryside | 7.3 | |
|
Google
created on 2019-06-04
Horse | 98.8 | |
| ||
Photograph | 95.1 | |
| ||
Mane | 75.1 | |
| ||
Farrier | 74.5 | |
| ||
Working animal | 74.5 | |
| ||
Horse supplies | 70.5 | |
| ||
Stock photography | 70.4 | |
| ||
Mare | 68.4 | |
| ||
Black-and-white | 56.4 | |
| ||
Stallion | 56.1 | |
| ||
Horse trainer | 54.2 | |
| ||
Pack animal | 51.9 | |
| ||
Livestock | 50.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 60-90 |
Gender | Male, 54.9% |
Disgusted | 45% |
Calm | 52.7% |
Angry | 45.2% |
Sad | 46.8% |
Happy | 45% |
Surprised | 45% |
Confused | 45.1% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.4% |
Sad | 50.2% |
Angry | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.4% |
Sad | 50.4% |
Disgusted | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Sad | 49.7% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.7% |
Calm | 49.9% |
Confused | 49.6% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Happy | 49.6% |
Sad | 49.9% |
Calm | 49.8% |
Confused | 49.5% |
Disgusted | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Confused | 49.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Sad | 50.2% |
Happy | 49.6% |
Calm | 49.6% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.5% |
Disgusted | 50% |
Confused | 49.5% |
Angry | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.8% |
Feature analysis
Categories
Imagga
nature landscape | 69.1% | |
| ||
pets animals | 30.8% | |
|
Captions
Microsoft
created on 2019-06-04
a black and white photo of a horse | 98.2% | |
| ||
a couple of people that are standing in front of a white horse | 95.1% | |
| ||
a person standing in front of a white horse | 95% | |
|
Text analysis
Amazon

Billy

Shokers

Brother

Gharies'a

Brother Gharies'a e84

ola Billy

Ape

e84

Norit EAnify Shokers

Lebnenpy.

ola

Norit

BITes

EAnify

Old Billy Ps H
Brotter Gharles Ast84
Nart Emily Shekers

Old

Billy

Ps

H

Brotter

Gharles

Ast84

Nart

Emily

Shekers