Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Shorts | 95.4 | |
| ||
Photograph | 94.3 | |
| ||
Black-and-white | 84.5 | |
| ||
Style | 83.9 | |
| ||
Waist | 82.8 | |
| ||
Chest | 80.4 | |
| ||
Thigh | 80.1 | |
| ||
Trunk | 77.4 | |
| ||
Snapshot | 74.3 | |
| ||
Undergarment | 74.1 | |
| ||
Abdomen | 73.8 | |
| ||
Barechested | 73.2 | |
| ||
Monochrome photography | 72.9 | |
| ||
Trunks | 72.8 | |
| ||
Navel | 72.5 | |
| ||
Monochrome | 72.2 | |
| ||
Human leg | 69.1 | |
| ||
Vintage clothing | 66.7 | |
| ||
Eyewear | 66 | |
| ||
Room | 62.2 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18834309/155,64,108,160/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Male, 98.7% |
Calm | 46.2% |
Sad | 25.4% |
Happy | 9.2% |
Fear | 6% |
Disgusted | 4.5% |
Angry | 4% |
Surprised | 3.6% |
Confused | 1.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18834309/130,28,180,210/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
paintings art | 71.1% | |
| ||
events parties | 12.3% | |
| ||
streetview architecture | 8.7% | |
| ||
people portraits | 3.4% | |
| ||
text visuals | 2.1% | |
| ||
food drinks | 1.6% | |
|
Captions
Microsoft
created on 2022-01-22
a group of people posing for the camera | 72.5% | |
| ||
a group of people posing for a photo | 64.7% | |
| ||
a group of people on a newspaper | 39.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18834309/531,538,127,68/full/0/native.jpg)
TAILOR
![](https://ids.lib.harvard.edu/ids/iiif/18834309/581,588,71,37/full/0/native.jpg)
OPEN
![](https://ids.lib.harvard.edu/ids/iiif/18834309/525,568,127,64/full/0/native.jpg)
NOW OPEN
![](https://ids.lib.harvard.edu/ids/iiif/18834309/525,576,56,33/full/0/native.jpg)
NOW
![](https://ids.lib.harvard.edu/ids/iiif/18834309/553,608,29,17/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/18834309/558,521,82,50/full/0/native.jpg)
Custom
![](https://ids.lib.harvard.edu/ids/iiif/18834309/581,614,54,26/full/0/native.jpg)
PUBLIC
![](https://ids.lib.harvard.edu/ids/iiif/18834309/529,596,106,50/full/0/native.jpg)
TO THE PUBLIC
![](https://ids.lib.harvard.edu/ids/iiif/18834309/529,604,22,16/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/18834309/259,896,15,10/full/0/native.jpg)
are
![](https://ids.lib.harvard.edu/ids/iiif/18834309/525,208,47,45/full/0/native.jpg)
79
![](https://ids.lib.harvard.edu/ids/iiif/18834309/524,166,65,54/full/0/native.jpg)
Sale
![](https://ids.lib.harvard.edu/ids/iiif/18834309/254,903,18,11/full/0/native.jpg)
ardin
![](https://ids.lib.harvard.edu/ids/iiif/18834309/552,852,23,19/full/0/native.jpg)
Its
![](https://ids.lib.harvard.edu/ids/iiif/18834309/516,169,147,475/full/0/native.jpg)
Sale
79
Custom
TAILOR
NOW OPEN
TO THE PUBLIC
![](https://ids.lib.harvard.edu/ids/iiif/18834309/516,169,79,57/full/0/native.jpg)
Sale
![](https://ids.lib.harvard.edu/ids/iiif/18834309/528,213,55,43/full/0/native.jpg)
79
![](https://ids.lib.harvard.edu/ids/iiif/18834309/555,610,31,21/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/18834309/582,616,57,28/full/0/native.jpg)
PUBLIC
![](https://ids.lib.harvard.edu/ids/iiif/18834309/556,525,92,50/full/0/native.jpg)
Custom
![](https://ids.lib.harvard.edu/ids/iiif/18834309/533,547,130,57/full/0/native.jpg)
TAILOR
![](https://ids.lib.harvard.edu/ids/iiif/18834309/526,578,58,37/full/0/native.jpg)
NOW
![](https://ids.lib.harvard.edu/ids/iiif/18834309/584,591,72,38/full/0/native.jpg)
OPEN
![](https://ids.lib.harvard.edu/ids/iiif/18834309/530,603,37,25/full/0/native.jpg)
TO