Machine Generated Data
Tags
Amazon
created on 2019-06-04
Human | 99.5 | |
| ||
Person | 99.5 | |
| ||
Person | 99.4 | |
| ||
Person | 98.4 | |
| ||
Person | 97.9 | |
| ||
Person | 97.8 | |
| ||
Person | 97.5 | |
| ||
Person | 97.3 | |
| ||
Person | 97.1 | |
| ||
Outdoors | 94.5 | |
| ||
Rural | 94.5 | |
| ||
Countryside | 94.5 | |
| ||
Building | 94.5 | |
| ||
Shelter | 94.5 | |
| ||
Nature | 94.5 | |
| ||
Person | 93.3 | |
| ||
Person | 90.1 | |
| ||
Person | 90 | |
| ||
Animal | 88.9 | |
| ||
Mammal | 88.9 | |
| ||
Horse | 88.9 | |
| ||
Pedestrian | 87.9 | |
| ||
People | 79.5 | |
| ||
Person | 79.1 | |
| ||
Person | 79 | |
| ||
Crowd | 78 | |
| ||
Snow | 75.1 | |
| ||
Person | 73.9 | |
| ||
Text | 68.5 | |
| ||
Person | 60.5 | |
| ||
Female | 57.4 | |
| ||
Person | 46.5 | |
|
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
structure | 20.8 | |
| ||
sky | 18.9 | |
| ||
pen | 17.7 | |
| ||
power | 17.6 | |
| ||
electricity | 16 | |
| ||
industrial | 14.5 | |
| ||
enclosure | 14.1 | |
| ||
industry | 13.7 | |
| ||
energy | 13.4 | |
| ||
landscape | 12.6 | |
| ||
silhouette | 12.4 | |
| ||
cable | 12.2 | |
| ||
construction | 12 | |
| ||
environment | 11.5 | |
| ||
outdoor | 11.5 | |
| ||
line | 11.4 | |
| ||
metal | 11.3 | |
| ||
voltage | 10.8 | |
| ||
man | 10.7 | |
| ||
building | 10.4 | |
| ||
electric | 10.3 | |
| ||
black | 10.2 | |
| ||
winter | 10.2 | |
| ||
tree | 10.2 | |
| ||
clouds | 10.1 | |
| ||
sunset | 9.9 | |
| ||
tower | 9.8 | |
| ||
wire | 9.8 | |
| ||
high | 9.5 | |
| ||
field | 9.2 | |
| ||
city | 9.1 | |
| ||
station | 8.9 | |
| ||
country | 8.8 | |
| ||
urban | 8.7 | |
| ||
day | 8.6 | |
| ||
dark | 8.4 | |
| ||
sand | 8.2 | |
| ||
snow | 8.2 | |
| ||
history | 8 | |
| ||
light | 8 | |
| ||
pylon | 7.9 | |
| ||
equipment | 7.9 | |
| ||
male | 7.8 | |
| ||
military | 7.7 | |
| ||
old | 7.7 | |
| ||
electrical | 7.7 | |
| ||
area | 7.6 | |
| ||
sunrise | 7.5 | |
| ||
evening | 7.5 | |
| ||
technology | 7.4 | |
| ||
resort area | 7.4 | |
| ||
countryside | 7.3 | |
| ||
danger | 7.3 | |
| ||
sun | 7.2 | |
| ||
dirty | 7.2 | |
| ||
architecture | 7.2 | |
| ||
transportation | 7.2 | |
| ||
grass | 7.1 | |
| ||
summer | 7.1 | |
| ||
uniform | 7.1 | |
| ||
rural | 7 | |
|
Google
created on 2019-06-04
Snapshot | 82 | |
| ||
Electricity | 59.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.4% |
Happy | 49.7% |
Surprised | 49.6% |
Calm | 49.7% |
Confused | 49.6% |
Disgusted | 49.8% |
Angry | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Calm | 49.6% |
Sad | 50.2% |
Happy | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Sad | 50.3% |
Surprised | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50% |
Sad | 49.5% |
Confused | 49.5% |
Angry | 50.4% |
Happy | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 60-90 |
Gender | Male, 50.1% |
Happy | 49.8% |
Angry | 49.6% |
Disgusted | 49.7% |
Confused | 49.5% |
Sad | 49.8% |
Calm | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.4% |
Calm | 49.5% |
Sad | 50% |
Happy | 49.5% |
Angry | 49.8% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Confused | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Disgusted | 49.6% |
Sad | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Sad | 50.1% |
Angry | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Sad | 50.4% |
Calm | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

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

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.5% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |
Disgusted | 49.6% |
Calm | 49.6% |
Happy | 49.9% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Angry | 49.5% |
Disgusted | 49.5% |
Sad | 49.7% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Calm | 50.2% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50% |
Sad | 49.6% |
Happy | 49.8% |
Surprised | 49.6% |
Disgusted | 49.8% |
Angry | 49.6% |
Calm | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Sad | 49.7% |
Disgusted | 49.6% |
Surprised | 49.6% |
Happy | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Calm | 49.8% |
Feature analysis
Categories
Imagga
beaches seaside | 47.8% | |
| ||
streetview architecture | 38.4% | |
| ||
nature landscape | 5.9% | |
| ||
cars vehicles | 4.4% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people walking down a dirt road | 94.6% | |
| ||
a group of people riding on the back of a horse | 88.3% | |
| ||
a group of people standing next to a horse | 88.2% | |
|
Text analysis
Amazon

207

45

BROOKLEN

25

190

P.S 45 BROOKLEN

VACATION

Audust 25 190

VACATION PLAYGROUNDS

PLAYGROUNDS

Audust

P.S

P

1IS

elis
P.S.A5.BROOKYN
NACATION-PLAYROUNDS
Audust 251902
2012

NACATION-PLAYROUNDS

Audust

251902

2012

elis

P.S.A5.BROOKYN