Machine Generated Data
Tags
Amazon
created on 2019-06-01
Person | 99.8 | |
| ||
Human | 99.8 | |
| ||
Apparel | 99.7 | |
| ||
Clothing | 99.7 | |
| ||
Person | 99.7 | |
| ||
Person | 99.5 | |
| ||
Dress | 99.3 | |
| ||
Person | 99.2 | |
| ||
Person | 98.7 | |
| ||
Female | 98.5 | |
| ||
Woman | 92.3 | |
| ||
Plant | 89.7 | |
| ||
Grass | 89.7 | |
| ||
Face | 82.2 | |
| ||
People | 82.1 | |
| ||
Evening Dress | 76.5 | |
| ||
Robe | 76.5 | |
| ||
Fashion | 76.5 | |
| ||
Gown | 76.5 | |
| ||
Girl | 72.9 | |
| ||
Portrait | 68.7 | |
| ||
Photography | 68.7 | |
| ||
Photo | 68.7 | |
| ||
Smile | 61.9 | |
| ||
Suit | 57.1 | |
| ||
Overcoat | 57.1 | |
| ||
Coat | 57.1 | |
| ||
Pants | 57 | |
| ||
Shorts | 55.3 | |
| ||
Skirt | 55.2 | |
|
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
Google
created on 2019-06-01
Photograph | 97.8 | |
| ||
People | 95.8 | |
| ||
Standing | 89.9 | |
| ||
Snapshot | 89.1 | |
| ||
Photography | 81.3 | |
| ||
Stock photography | 77.2 | |
| ||
Family | 68.9 | |
| ||
Black-and-white | 68.3 | |
| ||
Photographic paper | 58.2 | |
| ||
Vintage clothing | 50.7 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Disgusted | 45.2% |
Sad | 47.2% |
Calm | 50.4% |
Confused | 45.3% |
Surprised | 45.5% |
Happy | 45.9% |
Angry | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Disgusted | 45.1% |
Happy | 46.6% |
Sad | 46.1% |
Calm | 50.3% |
Angry | 45.9% |
Surprised | 45.7% |
Confused | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.3% |
Confused | 45.2% |
Surprised | 45.5% |
Happy | 45.3% |
Calm | 51.9% |
Sad | 45.8% |
Disgusted | 45.1% |
Angry | 46.1% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Angry | 47.8% |
Sad | 46.8% |
Happy | 45.9% |
Confused | 45.3% |
Surprised | 45.7% |
Calm | 48.1% |
Disgusted | 45.5% |
Feature analysis
Captions
Microsoft
a vintage photo of a woman | 96.5% | |
| ||
a black and white photo of a woman | 95.6% | |
| ||
a vintage photo of a girl | 92.6% | |
|