Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.8 | |
| ||
Human | 99.8 | |
| ||
Person | 99.5 | |
| ||
Person | 99.3 | |
| ||
Person | 99.3 | |
| ||
Person | 99.2 | |
| ||
Person | 99.2 | |
| ||
Person | 99.1 | |
| ||
Person | 99 | |
| ||
Person | 98.5 | |
| ||
Person | 98.4 | |
| ||
Person | 97.7 | |
| ||
Person | 93.4 | |
| ||
Apparel | 90.4 | |
| ||
Clothing | 90.4 | |
| ||
Person | 89.4 | |
| ||
People | 76.7 | |
| ||
Art | 73.1 | |
| ||
Painting | 73.1 | |
| ||
Dog | 67.3 | |
| ||
Animal | 67.3 | |
| ||
Pet | 67.3 | |
| ||
Canine | 67.3 | |
| ||
Mammal | 67.3 | |
| ||
Soil | 66.6 | |
| ||
Hunting | 63.9 | |
| ||
Wood | 63.7 | |
| ||
Standing | 60.2 | |
| ||
Duel | 57.3 | |
| ||
Ground | 57.2 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
cemetery | 35.7 | |
| ||
grunge | 23.8 | |
| ||
old | 20.9 | |
| ||
landscape | 18.6 | |
| ||
vintage | 18.2 | |
| ||
texture | 18.1 | |
| ||
outdoors | 15.7 | |
| ||
antique | 15.6 | |
| ||
ancient | 15.6 | |
| ||
dirty | 15.4 | |
| ||
people | 14.5 | |
| ||
aged | 14.5 | |
| ||
travel | 14.1 | |
| ||
structure | 14.1 | |
| ||
sand | 14 | |
| ||
grain | 12.9 | |
| ||
sky | 12.8 | |
| ||
field | 12.5 | |
| ||
silhouette | 12.4 | |
| ||
decoration | 12.3 | |
| ||
rural | 12.3 | |
| ||
grungy | 12.3 | |
| ||
space | 11.6 | |
| ||
art | 11.6 | |
| ||
black | 11.4 | |
| ||
country | 11.4 | |
| ||
group | 11.3 | |
| ||
scene | 11.2 | |
| ||
wall | 11.2 | |
| ||
grass | 11.1 | |
| ||
paper | 11 | |
| ||
tree | 10.8 | |
| ||
park | 10.7 | |
| ||
obsolete | 10.5 | |
| ||
pattern | 10.3 | |
| ||
rough | 10 | |
| ||
outdoor | 9.9 | |
| ||
scenery | 9.9 | |
| ||
backgrounds | 9.7 | |
| ||
crowd | 9.6 | |
| ||
rock | 9.6 | |
| ||
earth | 9.5 | |
| ||
old fashioned | 9.5 | |
| ||
desert | 9.4 | |
| ||
design | 9 | |
| ||
summer | 9 | |
| ||
person | 8.9 | |
| ||
material | 8.9 | |
| ||
brown | 8.8 | |
| ||
grime | 8.8 | |
| ||
scenic | 8.8 | |
| ||
forest | 8.7 | |
| ||
stain | 8.6 | |
| ||
men | 8.6 | |
| ||
damaged | 8.6 | |
| ||
winter | 8.5 | |
| ||
animal | 8.3 | |
| ||
tourism | 8.2 | |
| ||
national | 8.2 | |
| ||
farm | 8 | |
| ||
fence | 8 | |
| ||
smudged | 7.9 | |
| ||
text | 7.9 | |
| ||
male | 7.8 | |
| ||
color | 7.8 | |
| ||
fracture | 7.8 | |
| ||
geology | 7.8 | |
| ||
crumpled | 7.8 | |
| ||
snow | 7.7 | |
| ||
dirt | 7.6 | |
| ||
worn | 7.6 | |
| ||
farming | 7.6 | |
| ||
picket fence | 7.6 | |
| ||
dark | 7.5 | |
| ||
graffito | 7.5 | |
| ||
life | 7.5 | |
| ||
city | 7.5 | |
| ||
man | 7.4 | |
| ||
stone | 7.4 | |
| ||
retro | 7.4 | |
| ||
rustic | 7.4 | |
| ||
light | 7.3 | |
| ||
graphic | 7.3 | |
| ||
business | 7.3 | |
| ||
sun | 7.2 | |
| ||
day | 7.1 | |
| ||
surface | 7.1 | |
| ||
architecture | 7 | |
|
Google
created on 2019-06-05
Photograph | 94.8 | |
| ||
Team | 64.1 | |
| ||
Crew | 61.7 | |
| ||
Family | 54.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.8% |
Angry | 45.2% |
Happy | 45.5% |
Disgusted | 45.1% |
Surprised | 45.1% |
Calm | 45.4% |
Confused | 45.1% |
Sad | 53.8% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 52% |
Confused | 45.1% |
Surprised | 45.2% |
Calm | 49.9% |
Angry | 45.3% |
Disgusted | 45.4% |
Happy | 45.2% |
Sad | 48.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.2% |
Sad | 53.5% |
Happy | 45% |
Calm | 45.9% |
Surprised | 45.1% |
Angry | 45.2% |
Disgusted | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.3% |
Calm | 45% |
Angry | 45% |
Confused | 45% |
Sad | 45% |
Happy | 54.9% |
Disgusted | 45% |
Surprised | 45% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 52.2% |
Sad | 46.4% |
Happy | 48.2% |
Calm | 47.2% |
Surprised | 45.7% |
Angry | 45.9% |
Disgusted | 45.6% |
Confused | 46% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 52.3% |
Disgusted | 45.4% |
Sad | 49.4% |
Calm | 46.3% |
Happy | 47.7% |
Confused | 45.5% |
Surprised | 45.4% |
Angry | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.4% |
Sad | 47.1% |
Surprised | 45.5% |
Calm | 49.8% |
Happy | 45.3% |
Disgusted | 46.4% |
Confused | 45.2% |
Angry | 45.6% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.1% |
Disgusted | 45% |
Sad | 54.9% |
Calm | 45% |
Happy | 45% |
Confused | 45% |
Surprised | 45% |
Angry | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Disgusted | 45.5% |
Calm | 45.7% |
Surprised | 45.3% |
Angry | 45.5% |
Sad | 51.1% |
Confused | 46% |
Happy | 46% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 51% |
Calm | 51.8% |
Disgusted | 45.5% |
Confused | 45.2% |
Happy | 46.1% |
Angry | 45.4% |
Surprised | 45.4% |
Sad | 45.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.1% |
Confused | 45.2% |
Disgusted | 45.1% |
Happy | 45% |
Calm | 45.3% |
Surprised | 45% |
Sad | 45.5% |
Angry | 53.8% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 54% |
Disgusted | 45.9% |
Surprised | 45.7% |
Confused | 45.9% |
Sad | 48.8% |
Angry | 46.8% |
Calm | 46.4% |
Happy | 45.4% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 53.6% |
Angry | 45.3% |
Happy | 45.2% |
Disgusted | 45% |
Sad | 53.8% |
Confused | 45.1% |
Calm | 45.5% |
Surprised | 45.1% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.7% |
Calm | 52.9% |
Happy | 45.1% |
Angry | 45.3% |
Sad | 45.2% |
Surprised | 45.2% |
Confused | 45.2% |
Disgusted | 46.1% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.5% |
Disgusted | 45.3% |
Sad | 46.1% |
Surprised | 45.4% |
Calm | 45.9% |
Angry | 45.3% |
Happy | 51.7% |
Confused | 45.2% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Calm | 49.5% |
Angry | 49.5% |
Confused | 49.5% |
Sad | 50.1% |
Happy | 49.7% |
Disgusted | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.2% |
Calm | 49.9% |
Happy | 49.6% |
Angry | 49.5% |
Sad | 49.6% |
Surprised | 49.6% |
Confused | 49.7% |
Disgusted | 49.5% |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Female |

Microsoft Cognitive Services
Age | 28 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 96.4% | |
| ||
interior objects | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a group of people posing for the camera | 95.5% | |
| ||
a vintage photo of a group of people posing for a picture | 95.4% | |
| ||
a group of people posing for a photo | 95.3% | |
|
Text analysis
Amazon

S3