Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
people | 99.4 | |
| ||
monochrome | 98.3 | |
| ||
adult | 97.5 | |
| ||
one | 96.1 | |
| ||
competition | 96 | |
| ||
man | 95.2 | |
| ||
track and field | 94 | |
| ||
athlete | 93.8 | |
| ||
woman | 93 | |
| ||
wear | 92.9 | |
| ||
outfit | 92.8 | |
| ||
group together | 92.1 | |
| ||
two | 89.1 | |
| ||
stadium | 84.9 | |
| ||
motion | 83.9 | |
| ||
child | 83.5 | |
| ||
field | 83.1 | |
| ||
recreation | 82.3 | |
| ||
uniform | 81.8 | |
| ||
portrait | 80.3 | |
|
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Flash photography | 87.2 | |
| ||
Black-and-white | 83.3 | |
| ||
Player | 78.5 | |
| ||
Font | 78 | |
| ||
Happy | 77.6 | |
| ||
Monochrome photography | 76.8 | |
| ||
Monochrome | 76 | |
| ||
Shorts | 75.4 | |
| ||
Grass | 72.7 | |
| ||
Recreation | 72.3 | |
| ||
Rectangle | 70.4 | |
| ||
Photo caption | 66 | |
| ||
Stock photography | 62.9 | |
| ||
Running | 62.9 | |
| ||
Advertising | 58.8 | |
| ||
Room | 56.4 | |
| ||
T-shirt | 55.5 | |
| ||
Photographic paper | 54.5 | |
| ||
Autograph | 54.5 | |
| ||
Illustration | 52.9 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18822715/369,285,33,39/full/0/native.jpg)
AWS Rekognition
Age | 43-51 |
Gender | Male, 87.5% |
Calm | 97.2% |
Surprised | 1.7% |
Angry | 0.6% |
Sad | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18822715/366,277,40,47/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 88.8% | |
| ||
interior objects | 5.6% | |
| ||
nature landscape | 3% | |
| ||
paintings art | 1.5% | |
|
Captions
Microsoft
created on 2022-01-22
a man standing on a baseball field | 73.5% | |
| ||
a man standing in front of a baseball field | 73.4% | |
| ||
a man holding a baseball bat on a field | 43.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18822715/140,983,72,13/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18822715/53,983,64,13/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18822715/235,983,43,12/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18822715/554,983,10,12/full/0/native.jpg)
7
![](https://ids.lib.harvard.edu/ids/iiif/18822715/367,348,61,58/full/0/native.jpg)
1Э
![](https://ids.lib.harvard.edu/ids/iiif/18822715/55,349,386,652/full/0/native.jpg)
19
KODAK
SAFETY
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18822715/357,349,83,66/full/0/native.jpg)
19
![](https://ids.lib.harvard.edu/ids/iiif/18822715/55,986,67,15/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18822715/142,986,74,15/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18822715/238,986,46,15/full/0/native.jpg)
FILM