Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 99.8 | |
| ||
Person | 99.8 | |
| ||
Person | 99.7 | |
| ||
Person | 99.5 | |
| ||
Person | 99.4 | |
| ||
Person | 99.1 | |
| ||
Person | 98.9 | |
| ||
Person | 98.9 | |
| ||
Person | 98.9 | |
| ||
People | 96.5 | |
| ||
Person | 94.4 | |
| ||
Sports | 94.2 | |
| ||
Sport | 94.2 | |
| ||
Mammal | 94 | |
| ||
Animal | 94 | |
| ||
Horse | 94 | |
| ||
Team | 89.1 | |
| ||
Team Sport | 89.1 | |
| ||
Football | 86.7 | |
| ||
Field | 76.9 | |
| ||
Apparel | 76.1 | |
| ||
Clothing | 76.1 | |
| ||
Shorts | 74.4 | |
| ||
Crowd | 67.4 | |
| ||
Plant | 64 | |
| ||
Kicking | 62.8 | |
| ||
Grass | 60.5 | |
| ||
American Football | 55.5 | |
| ||
Person | 43.6 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
horse | 38 | |
| ||
ranch | 35.1 | |
| ||
cowboy | 28.3 | |
| ||
pen | 26.2 | |
| ||
outdoor | 22.2 | |
| ||
enclosure | 21.9 | |
| ||
field | 21.8 | |
| ||
vaulting horse | 21.1 | |
| ||
rural | 20.3 | |
| ||
farm | 19.6 | |
| ||
people | 19.5 | |
| ||
summer | 18 | |
| ||
sky | 17.9 | |
| ||
grass | 17.4 | |
| ||
man | 16.8 | |
| ||
sport | 16.6 | |
| ||
outdoors | 15.1 | |
| ||
landscape | 14.9 | |
| ||
male | 14.4 | |
| ||
mountain | 14.2 | |
| ||
country | 14.1 | |
| ||
countryside | 13.7 | |
| ||
horses | 13.6 | |
| ||
brown | 13.3 | |
| ||
gymnastic apparatus | 12.6 | |
| ||
cattle | 12.1 | |
| ||
walking | 11.4 | |
| ||
travel | 11.3 | |
| ||
clouds | 11 | |
| ||
structure | 11 | |
| ||
active | 10.8 | |
| ||
sunset | 10.8 | |
| ||
backpack | 10.8 | |
| ||
riding | 10.7 | |
| ||
pasture | 10.5 | |
| ||
leisure | 10 | |
| ||
park | 9.9 | |
| ||
livestock | 9.8 | |
| ||
sun | 9.7 | |
| ||
cow | 9.5 | |
| ||
outside | 9.4 | |
| ||
hill | 9.4 | |
| ||
equipment | 9.3 | |
| ||
person | 9.3 | |
| ||
animals | 9.3 | |
| ||
equine | 9.1 | |
| ||
beach | 8.7 | |
| ||
sports equipment | 8.7 | |
| ||
dirt | 8.6 | |
| ||
men | 8.6 | |
| ||
laborer | 8.6 | |
| ||
old | 8.4 | |
| ||
speed | 8.3 | |
| ||
competition | 8.2 | |
| ||
saddle | 8.2 | |
| ||
meadow | 8.1 | |
| ||
recreation | 8.1 | |
| ||
bovine | 7.9 | |
| ||
agriculture | 7.9 | |
| ||
sand | 7.9 | |
| ||
adult | 7.9 | |
| ||
forest | 7.8 | |
| ||
plow | 7.8 | |
| ||
resort | 7.7 | |
| ||
hiking | 7.7 | |
| ||
walk | 7.6 | |
| ||
land | 7.5 | |
| ||
fun | 7.5 | |
| ||
silhouette | 7.5 | |
| ||
dry | 7.4 | |
| ||
mountains | 7.4 | |
| ||
vacation | 7.4 | |
| ||
natural | 7.4 | |
| ||
fence | 7.3 | |
| ||
lifestyle | 7.2 | |
| ||
road | 7.2 | |
| ||
activity | 7.2 | |
| ||
work | 7.1 | |
| ||
happiness | 7.1 | |
| ||
sea | 7 | |
| ||
scenic | 7 | |
|
Google
created on 2019-06-05
Fun | 70.4 | |
| ||
Team sport | 69 | |
| ||
Adaptation | 67 | |
| ||
Photography | 62.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.1% |
Angry | 49.6% |
Calm | 50% |
Sad | 49.7% |
Confused | 49.5% |
Disgusted | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 50.2% |
Happy | 49.6% |
Disgusted | 50% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.7% |
Calm | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50% |
Calm | 49.6% |
Confused | 49.6% |
Happy | 49.7% |
Sad | 49.7% |
Surprised | 49.6% |
Disgusted | 49.7% |
Angry | 49.6% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.2% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Sad | 50.3% |
Feature analysis
Categories
Imagga
interior objects | 76.8% | |
| ||
beaches seaside | 10.4% | |
| ||
nature landscape | 6.1% | |
| ||
sunrises sunsets | 5.5% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people in a field | 96.9% | |
| ||
a vintage photo of a group of people on a field | 96.6% | |
| ||
a vintage photo of a group of people standing in a field | 95.6% | |
|
Text analysis
Amazon

S

sU S

sU

evey

evey