Machine Generated Data
Tags
Amazon
created on 2019-11-09
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
Google
created on 2019-11-09
Photograph | 96.2 | |
| ||
Picture frame | 89.2 | |
| ||
Lady | 87.2 | |
| ||
Portrait | 82.3 | |
| ||
Painting | 75.3 | |
| ||
Stock photography | 73.4 | |
| ||
Vintage clothing | 69.4 | |
| ||
Oval | 63.4 | |
| ||
Art | 62.5 | |
| ||
Photography | 62.4 | |
| ||
Collection | 57.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20438054/313,244,143,199/full/0/native.jpg)
AWS Rekognition
Age | 22-34 |
Gender | Male, 98.1% |
Disgusted | 15.5% |
Calm | 34.3% |
Confused | 6.4% |
Surprised | 6.8% |
Angry | 16.2% |
Happy | 13.3% |
Fear | 3.6% |
Sad | 4% |
![](https://ids.lib.harvard.edu/ids/iiif/20438054/281,269,156,156/full/0/native.jpg)
Microsoft Cognitive Services
Age | 34 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/20438054/274,179,238,276/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 98.8% | |
| ||
cars vehicles | 1.2% | |
|
Captions
Microsoft
created on 2019-11-09
a black and white photo of a woman | 91.2% | |
| ||
a vintage photo of a woman | 91.1% | |
| ||
an old black and white photo of a woman | 89.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20438054/56,568,207,63/full/0/native.jpg)
LNOVESTES
![](https://ids.lib.harvard.edu/ids/iiif/20438054/674,174,69,13/full/0/native.jpg)
FRANCOTS
![](https://ids.lib.harvard.edu/ids/iiif/20438054/91,657,47,36/full/0/native.jpg)
ES
![](https://ids.lib.harvard.edu/ids/iiif/20438054/85,279,51,38/full/0/native.jpg)
DDV
![](https://ids.lib.harvard.edu/ids/iiif/20438054/49,655,12,2/full/0/native.jpg)
LNOVESTES NOVES DDV ES
![](https://ids.lib.harvard.edu/ids/iiif/20438054/437,37,187,43/full/0/native.jpg)
MESSTRE
![](https://ids.lib.harvard.edu/ids/iiif/20438054/674,880,39,14/full/0/native.jpg)
Facicbat
![](https://ids.lib.harvard.edu/ids/iiif/20438054/58,536,125,38/full/0/native.jpg)
NOVES
![](https://ids.lib.harvard.edu/ids/iiif/20438054/464,831,162,31/full/0/native.jpg)
IVIL
![](https://ids.lib.harvard.edu/ids/iiif/20438054/580,878,133,14/full/0/native.jpg)
Nanmel adriume Facicbat
![](https://ids.lib.harvard.edu/ids/iiif/20438054/100,166,270,61/full/0/native.jpg)
LEMENT
![](https://ids.lib.harvard.edu/ids/iiif/20438054/633,881,43,12/full/0/native.jpg)
adriume
![](https://ids.lib.harvard.edu/ids/iiif/20438054/579,879,48,14/full/0/native.jpg)
Nanmel
![](https://ids.lib.harvard.edu/ids/iiif/20438054/667,573,17,92/full/0/native.jpg)
WN
![](https://ids.lib.harvard.edu/ids/iiif/20438054/310,871,223,29/full/0/native.jpg)
PDeA
![](https://ids.lib.harvard.edu/ids/iiif/20438054/90,24,655,878/full/0/native.jpg)
MESSIRE
ARLEMEN
CHARN
BRE SIDENT
Nantual ad viuum facbat
OTIN
DE
RANCOTS
![](https://ids.lib.harvard.edu/ids/iiif/20438054/413,52,216,120/full/0/native.jpg)
MESSIRE
![](https://ids.lib.harvard.edu/ids/iiif/20438054/114,24,257,197/full/0/native.jpg)
ARLEMEN
![](https://ids.lib.harvard.edu/ids/iiif/20438054/459,724,201,152/full/0/native.jpg)
CHARN
![](https://ids.lib.harvard.edu/ids/iiif/20438054/230,768,141,134/full/0/native.jpg)
BRE
![](https://ids.lib.harvard.edu/ids/iiif/20438054/90,668,190,169/full/0/native.jpg)
SIDENT
![](https://ids.lib.harvard.edu/ids/iiif/20438054/588,881,44,17/full/0/native.jpg)
Nantual
![](https://ids.lib.harvard.edu/ids/iiif/20438054/632,881,15,17/full/0/native.jpg)
ad
![](https://ids.lib.harvard.edu/ids/iiif/20438054/647,882,31,17/full/0/native.jpg)
viuum
![](https://ids.lib.harvard.edu/ids/iiif/20438054/677,882,38,17/full/0/native.jpg)
facbat
![](https://ids.lib.harvard.edu/ids/iiif/20438054/678,484,64,149/full/0/native.jpg)
OTIN
![](https://ids.lib.harvard.edu/ids/iiif/20438054/637,638,69,88/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/20438054/641,196,104,230/full/0/native.jpg)
RANCOTS