Machine Generated Data
Tags
Amazon
created on 2022-01-29
Person | 98.9 | |
| ||
Human | 98.9 | |
| ||
Clothing | 97.7 | |
| ||
Apparel | 97.7 | |
| ||
Person | 96.3 | |
| ||
Person | 96 | |
| ||
Sunglasses | 95.3 | |
| ||
Accessories | 95.3 | |
| ||
Accessory | 95.3 | |
| ||
Tie | 92 | |
| ||
Suit | 82.5 | |
| ||
Overcoat | 82.5 | |
| ||
Coat | 82.5 | |
| ||
Tie | 75.9 | |
| ||
Shirt | 75.1 | |
| ||
Musician | 71.9 | |
| ||
Musical Instrument | 71.9 | |
| ||
Suit | 69.6 | |
| ||
Meal | 69.3 | |
| ||
Food | 69.3 | |
| ||
Sitting | 67.7 | |
| ||
Finger | 60.4 | |
| ||
Leisure Activities | 59.8 | |
| ||
Tuxedo | 59.2 | |
| ||
Dish | 57.7 | |
| ||
Pottery | 56.9 | |
| ||
Suit | 51.7 | |
|
Clarifai
created on 2023-10-27
people | 99.6 | |
| ||
group | 99.6 | |
| ||
group together | 99.1 | |
| ||
man | 97.8 | |
| ||
adult | 97.3 | |
| ||
three | 96 | |
| ||
monochrome | 94.5 | |
| ||
leader | 94.3 | |
| ||
league | 94.2 | |
| ||
meeting | 89.9 | |
| ||
actor | 88.6 | |
| ||
several | 87 | |
| ||
four | 86.5 | |
| ||
interaction | 86.4 | |
| ||
five | 83.9 | |
| ||
chair | 83.7 | |
| ||
administration | 82.3 | |
| ||
woman | 80.8 | |
| ||
facial expression | 77.4 | |
| ||
handshake | 76.9 | |
|
Imagga
created on 2022-01-29
Google
created on 2022-01-29
Photograph | 94.2 | |
| ||
Coat | 88.7 | |
| ||
Style | 83.8 | |
| ||
Black-and-white | 82.7 | |
| ||
Tie | 82.6 | |
| ||
Suit | 79.1 | |
| ||
Formal wear | 74.7 | |
| ||
Monochrome | 74.6 | |
| ||
White-collar worker | 74.5 | |
| ||
Event | 73.4 | |
| ||
Monochrome photography | 73.2 | |
| ||
Font | 70.5 | |
| ||
Music | 66 | |
| ||
Sitting | 65.3 | |
| ||
Stock photography | 64.6 | |
| ||
Vintage clothing | 64.4 | |
| ||
Classic | 63.6 | |
| ||
Room | 63.4 | |
| ||
Conversation | 63.3 | |
| ||
Chair | 61.1 | |
|
Microsoft
created on 2022-01-29
person | 99.2 | |
| ||
clothing | 95.8 | |
| ||
man | 94 | |
| ||
text | 84.3 | |
| ||
black | 67.6 | |
| ||
musical instrument | 66.7 | |
| ||
black and white | 60.4 | |
| ||
suit | 52.2 | |
| ||
human face | 51.7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 50-58 |
Gender | Male, 100% |
Calm | 99.7% |
Sad | 0.2% |
Confused | 0% |
Happy | 0% |
Angry | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 50-58 |
Gender | Male, 98.5% |
Calm | 97.1% |
Sad | 2.3% |
Confused | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 61.1% | |
| ||
paintings art | 30.2% | |
| ||
streetview architecture | 3.3% | |
| ||
interior objects | 1.6% | |
| ||
events parties | 1.3% | |
| ||
text visuals | 1.3% | |
|
Captions
Microsoft
created on 2022-01-29
Text analysis
Amazon

e

MJIR

YT3702

MJIR YT3702 BEEF

BEEF

MIR YT3302 AA

MIR

YT3302

AA