Machine Generated Data
Tags
Amazon
created on 2022-01-23
Furniture | 98.4 | |
| ||
Table | 89.1 | |
| ||
Room | 87.2 | |
| ||
Indoors | 87.2 | |
| ||
Interior Design | 84.5 | |
| ||
Dining Table | 84.3 | |
| ||
Drawing | 80 | |
| ||
Art | 80 | |
| ||
Living Room | 73.4 | |
| ||
Meal | 71.1 | |
| ||
Food | 71.1 | |
| ||
Cabinet | 69.4 | |
| ||
Home Decor | 65 | |
| ||
Dish | 64.5 | |
| ||
Photography | 61.9 | |
| ||
Photo | 61.9 | |
| ||
Desk | 60.5 | |
| ||
Dining Room | 55.4 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
Google
created on 2022-01-23
Dishware | 87.7 | |
| ||
Table | 86.9 | |
| ||
Black-and-white | 84.7 | |
| ||
Chair | 84.6 | |
| ||
Style | 83.8 | |
| ||
Art | 78 | |
| ||
Serveware | 76 | |
| ||
Tablecloth | 75.3 | |
| ||
Snapshot | 74.3 | |
| ||
Monochrome photography | 73 | |
| ||
Monochrome | 72.2 | |
| ||
Font | 70.6 | |
| ||
House | 70.1 | |
| ||
Event | 69.6 | |
| ||
Classic | 69.4 | |
| ||
Plate | 68.3 | |
| ||
Room | 68 | |
| ||
Building | 67.8 | |
| ||
Visual arts | 67.1 | |
| ||
Linens | 63.6 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221909/195,357,32,27/full/0/native.jpg)
AWS Rekognition
Age | 25-35 |
Gender | Male, 96.7% |
Calm | 51.3% |
Disgusted | 11.8% |
Sad | 11.2% |
Happy | 9.9% |
Confused | 6.8% |
Angry | 4.3% |
Fear | 2.6% |
Surprised | 2.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20221909/186,310,37,35/full/0/native.jpg)
AWS Rekognition
Age | 13-21 |
Gender | Male, 51.3% |
Calm | 44.7% |
Confused | 25.2% |
Surprised | 9.5% |
Happy | 7.7% |
Angry | 5.5% |
Sad | 4.3% |
Fear | 1.8% |
Disgusted | 1.2% |
Categories
Imagga
paintings art | 92.1% | |
| ||
text visuals | 4.8% | |
| ||
streetview architecture | 2.5% | |
|
Captions
Microsoft
created on 2022-01-23
a vintage photo of a group of items on display | 48.8% | |
| ||
a vintage photo of a group of items on a table | 41.1% | |
| ||
a vintage photo of a group of items in it | 41% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221909/985,461,17,70/full/0/native.jpg)
YT3RAS
![](https://ids.lib.harvard.edu/ids/iiif/20221909/983,412,21,119/full/0/native.jpg)
MJIR YT3RAS
![](https://ids.lib.harvard.edu/ids/iiif/20221909/984,412,17,42/full/0/native.jpg)
MJIR
![](https://ids.lib.harvard.edu/ids/iiif/20221909/985,414,22,188/full/0/native.jpg)
MJ1२ YT33A2 002MA
![](https://ids.lib.harvard.edu/ids/iiif/20221909/989,541,19,61/full/0/native.jpg)
002MA
![](https://ids.lib.harvard.edu/ids/iiif/20221909/986,414,20,44/full/0/native.jpg)
MJ1२
![](https://ids.lib.harvard.edu/ids/iiif/20221909/987,464,19,71/full/0/native.jpg)
YT33A2