Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
Google
created on 2022-01-15
Black-and-white | 83 | |
| ||
Cooking | 76.3 | |
| ||
Monochrome photography | 75.9 | |
| ||
Monochrome | 74.6 | |
| ||
Window | 72 | |
| ||
Chef | 71.4 | |
| ||
Cap | 69.3 | |
| ||
Stock photography | 66.5 | |
| ||
Hat | 63.9 | |
| ||
Cook | 60.5 | |
| ||
Room | 60.4 | |
| ||
Helmet | 58.2 | |
| ||
Sitting | 57.3 | |
| ||
Fashion accessory | 56.9 | |
| ||
Service | 56.8 | |
| ||
Serveware | 55.3 | |
| ||
Job | 54.4 | |
| ||
Culinary art | 53.8 | |
| ||
Personal protective equipment | 53.2 | |
| ||
Office equipment | 52.7 | |
|
Microsoft
created on 2022-01-15
text | 97.2 | |
| ||
person | 95.8 | |
| ||
black and white | 94.6 | |
| ||
fashion accessory | 79.8 | |
| ||
clothing | 78.2 | |
| ||
hat | 74.5 | |
| ||
monochrome | 69.8 | |
| ||
old | 46.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819910/570,155,103,141/full/0/native.jpg)
AWS Rekognition
Age | 48-54 |
Gender | Female, 79.4% |
Calm | 98.6% |
Sad | 1.3% |
Angry | 0% |
Confused | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
Happy | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18819910/538,94,176,205/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
food drinks | 45.8% | |
| ||
paintings art | 33.7% | |
| ||
interior objects | 4.6% | |
| ||
pets animals | 4.2% | |
| ||
people portraits | 3.4% | |
| ||
nature landscape | 2.7% | |
| ||
streetview architecture | 2.1% | |
| ||
cars vehicles | 1.6% | |
|
Captions
Microsoft
created on 2022-01-15
a person standing in front of a window | 80.7% | |
| ||
a person standing in front of a cake | 76.7% | |
| ||
a person that is standing in front of a window | 76.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819910/304,9,75,29/full/0/native.jpg)
115
![](https://ids.lib.harvard.edu/ids/iiif/18819910/987,565,31,112/full/0/native.jpg)
11525
![](https://ids.lib.harvard.edu/ids/iiif/18819910/304,8,161,31/full/0/native.jpg)
115 25.
![](https://ids.lib.harvard.edu/ids/iiif/18819910/392,9,72,27/full/0/native.jpg)
25.
![](https://ids.lib.harvard.edu/ids/iiif/18819910/371,778,145,33/full/0/native.jpg)
11525..
![](https://ids.lib.harvard.edu/ids/iiif/18819910/983,288,36,388/full/0/native.jpg)
11525 --KODA
![](https://ids.lib.harvard.edu/ids/iiif/18819910/992,191,13,37/full/0/native.jpg)
: 50
![](https://ids.lib.harvard.edu/ids/iiif/18819910/987,288,22,280/full/0/native.jpg)
--KODA
![](https://ids.lib.harvard.edu/ids/iiif/18819910/264,10,215,701/full/0/native.jpg)
11525.
Doa Wu
HCRESA
![](https://ids.lib.harvard.edu/ids/iiif/18819910/295,10,184,35/full/0/native.jpg)
11525.
![](https://ids.lib.harvard.edu/ids/iiif/18819910/292,675,38,26/full/0/native.jpg)
Wu
![](https://ids.lib.harvard.edu/ids/iiif/18819910/264,684,36,27/full/0/native.jpg)
Doa
![](https://ids.lib.harvard.edu/ids/iiif/18819910/333,687,66,25/full/0/native.jpg)
HCRESA