Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 98.5 | |
| ||
Human | 98.5 | |
| ||
Plant | 96.1 | |
| ||
Indoors | 94.2 | |
| ||
Room | 93.5 | |
| ||
Furniture | 92.4 | |
| ||
Flower | 91 | |
| ||
Blossom | 91 | |
| ||
Interior Design | 87.8 | |
| ||
Flower Arrangement | 87.4 | |
| ||
Table | 82.4 | |
| ||
Flower Bouquet | 79.7 | |
| ||
Coat | 79.2 | |
| ||
Apparel | 79.2 | |
| ||
Clothing | 79.2 | |
| ||
Overcoat | 79.2 | |
| ||
Reception | 72.7 | |
| ||
Crowd | 70.2 | |
| ||
Suit | 62.4 | |
| ||
Electronics | 59.3 | |
| ||
Screen | 59.3 | |
| ||
Display | 59.3 | |
| ||
Monitor | 59.3 | |
| ||
Lobby | 58.7 | |
| ||
Shirt | 58.1 | |
| ||
Desk | 57.8 | |
| ||
Meeting Room | 57.7 | |
| ||
Conference Room | 57.7 | |
| ||
Tuxedo | 57.4 | |
| ||
Living Room | 56.7 | |
| ||
Sitting | 55.4 | |
| ||
Ikebana | 55.2 | |
| ||
Pottery | 55.2 | |
| ||
Jar | 55.2 | |
| ||
Ornament | 55.2 | |
| ||
Vase | 55.2 | |
| ||
Art | 55.2 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
Google
created on 2022-01-22
Black | 89.6 | |
| ||
Black-and-white | 84.1 | |
| ||
Rectangle | 82.1 | |
| ||
Line | 81.6 | |
| ||
Flower | 77.5 | |
| ||
Plant | 77.1 | |
| ||
Art | 75 | |
| ||
Monochrome photography | 73.1 | |
| ||
Font | 72.9 | |
| ||
Wood | 72.4 | |
| ||
Monochrome | 71.3 | |
| ||
Houseplant | 68 | |
| ||
Visual arts | 67 | |
| ||
Room | 66.7 | |
| ||
Still life photography | 64.3 | |
| ||
Event | 63.9 | |
| ||
Display case | 63.5 | |
| ||
Stock photography | 62 | |
| ||
Glass | 58.1 | |
| ||
Picture frame | 57.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18822284/517,303,46,59/full/0/native.jpg)
AWS Rekognition
Age | 50-58 |
Gender | Male, 99.9% |
Confused | 29.7% |
Calm | 27.6% |
Sad | 18.7% |
Surprised | 9.5% |
Disgusted | 5.4% |
Fear | 4.1% |
Happy | 2.6% |
Angry | 2.4% |
Feature analysis
Categories
Imagga
interior objects | 99.8% | |
|
Captions
Microsoft
created on 2022-01-22
a group of people standing in front of a window | 72.7% | |
| ||
a group of people in front of a window | 70.4% | |
| ||
a group of people standing next to a window | 70.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18822284/34,217,12,42/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18822284/33,119,15,140/full/0/native.jpg)
SAFETY FILM
![](https://ids.lib.harvard.edu/ids/iiif/18822284/30,536,13,11/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/18822284/33,32,16,65/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18822284/33,119,15,73/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18822284/420,546,51,15/full/0/native.jpg)
HOFFMAN
![](https://ids.lib.harvard.edu/ids/iiif/18822284/393,542,79,18/full/0/native.jpg)
H.W. HOFFMAN
![](https://ids.lib.harvard.edu/ids/iiif/18822284/394,542,26,13/full/0/native.jpg)
H.W.
![](https://ids.lib.harvard.edu/ids/iiif/18822284/432,557,21,8/full/0/native.jpg)
GARMIER
![](https://ids.lib.harvard.edu/ids/iiif/18822284/411,554,42,10/full/0/native.jpg)
KAME GARMIER
![](https://ids.lib.harvard.edu/ids/iiif/18822284/411,554,19,7/full/0/native.jpg)
KAME
![](https://ids.lib.harvard.edu/ids/iiif/18822284/420,577,29,11/full/0/native.jpg)
TIREE
![](https://ids.lib.harvard.edu/ids/iiif/18822284/35,34,17,68/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18822284/34,121,17,75/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18822284/33,218,18,46/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18822284/33,537,15,14/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/18822284/32,34,19,517/full/0/native.jpg)
KODAK
SAFETY
FILM
9