Machine Generated Data
Tags
Amazon
created on 2021-12-15
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-15
Google
created on 2021-12-15
Black | 89.5 | |
| ||
Jaw | 87.7 | |
| ||
Sleeve | 75.4 | |
| ||
Snapshot | 74.3 | |
| ||
Monochrome photography | 73.5 | |
| ||
Monochrome | 71.8 | |
| ||
Vintage clothing | 70.3 | |
| ||
Art | 69.2 | |
| ||
Tie | 69 | |
| ||
Sitting | 64.2 | |
| ||
Suit | 63.7 | |
| ||
Stock photography | 62.9 | |
| ||
Formal wear | 62.6 | |
| ||
History | 60.5 | |
| ||
Room | 55.4 | |
| ||
Photo caption | 52.5 | |
| ||
Fashion design | 50.9 | |
| ||
Fur | 50.5 | |
|
Microsoft
created on 2021-12-15
text | 99.2 | |
| ||
wedding dress | 98.7 | |
| ||
man | 95.6 | |
| ||
bride | 94.8 | |
| ||
outdoor | 93.7 | |
| ||
dress | 91.7 | |
| ||
black and white | 81.6 | |
| ||
statue | 75.7 | |
| ||
clothing | 52.5 | |
| ||
person | 51.4 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18783074/413,141,85,131/full/0/native.jpg)
AWS Rekognition
Age | 32-48 |
Gender | Male, 93.6% |
Calm | 84.8% |
Surprised | 5.7% |
Happy | 4.9% |
Angry | 2.3% |
Sad | 1.4% |
Fear | 0.4% |
Confused | 0.3% |
Disgusted | 0.2% |
Feature analysis
Categories
Imagga
paintings art | 66.4% | |
| ||
streetview architecture | 19.2% | |
| ||
pets animals | 6.2% | |
| ||
interior objects | 3.5% | |
| ||
food drinks | 2% | |
| ||
people portraits | 1.8% | |
|
Captions
Microsoft
created on 2021-12-15
a man standing in front of a building | 89% | |
| ||
a man standing in front of a window | 82.9% | |
| ||
a man that is standing in front of a building | 82.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18783074/190,16,11,13/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18783074/786,351,24,99/full/0/native.jpg)
1612
![](https://ids.lib.harvard.edu/ids/iiif/18783074/604,6,146,36/full/0/native.jpg)
16125.
![](https://ids.lib.harvard.edu/ids/iiif/18783074/786,289,24,161/full/0/native.jpg)
1612 5.
![](https://ids.lib.harvard.edu/ids/iiif/18783074/786,289,23,40/full/0/native.jpg)
5.
![](https://ids.lib.harvard.edu/ids/iiif/18783074/6,8,809,886/full/0/native.jpg)
1612 5.
HAロONーYTヨ3A2- MAMT2A3
こ191
16125.
![](https://ids.lib.harvard.edu/ids/iiif/18783074/612,8,93,39/full/0/native.jpg)
1612
![](https://ids.lib.harvard.edu/ids/iiif/18783074/714,9,43,39/full/0/native.jpg)
5.
![](https://ids.lib.harvard.edu/ids/iiif/18783074/288,17,29,16/full/0/native.jpg)
HA
![](https://ids.lib.harvard.edu/ids/iiif/18783074/317,18,15,15/full/0/native.jpg)
ロ
![](https://ids.lib.harvard.edu/ids/iiif/18783074/332,17,29,16/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/18783074/358,15,32,21/full/0/native.jpg)
ー
![](https://ids.lib.harvard.edu/ids/iiif/18783074/387,14,34,21/full/0/native.jpg)
YT
![](https://ids.lib.harvard.edu/ids/iiif/18783074/418,14,17,21/full/0/native.jpg)
ヨ
![](https://ids.lib.harvard.edu/ids/iiif/18783074/443,17,54,15/full/0/native.jpg)
3A2-
![](https://ids.lib.harvard.edu/ids/iiif/18783074/499,16,99,16/full/0/native.jpg)
MAMT2A3
![](https://ids.lib.harvard.edu/ids/iiif/18783074/786,359,30,39/full/0/native.jpg)
こ
![](https://ids.lib.harvard.edu/ids/iiif/18783074/785,395,31,64/full/0/native.jpg)
191
![](https://ids.lib.harvard.edu/ids/iiif/18783074/7,756,32,137/full/0/native.jpg)
16125.