Machine Generated Data
Tags
Amazon
created on 2022-01-23
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.2 | |
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Person | 97.6 | |
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Person | 95.9 | |
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Person | 93.8 | |
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Person | 91.4 | |
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Person | 90.9 | |
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Person | 89.8 | |
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Room | 86.2 | |
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Indoors | 86.2 | |
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Interior Design | 85.7 | |
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Person | 81.7 | |
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Sitting | 74.1 | |
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Living Room | 69.6 | |
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Classroom | 67.3 | |
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School | 67.3 | |
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Furniture | 64.2 | |
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Clothing | 62.9 | |
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Apparel | 62.9 | |
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People | 62.1 | |
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LCD Screen | 59.8 | |
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Electronics | 59.8 | |
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Monitor | 59.8 | |
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Screen | 59.8 | |
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Display | 59.8 | |
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Couch | 58.8 | |
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Meal | 58.3 | |
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Food | 58.3 | |
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Hair | 56.6 | |
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Finger | 55.1 | |
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Person | 47.6 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
Google
created on 2022-01-23
Plant | 89.8 | |
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Black | 89.6 | |
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Organism | 85.3 | |
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Black-and-white | 84.7 | |
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Chair | 82.7 | |
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Adaptation | 79.4 | |
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Monochrome photography | 75.2 | |
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Snapshot | 74.3 | |
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Monochrome | 71.2 | |
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Room | 70.4 | |
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Event | 70.2 | |
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Art | 69.8 | |
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Font | 66.1 | |
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Suit | 65 | |
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Stock photography | 63 | |
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Sitting | 61.7 | |
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Table | 61.6 | |
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Visual arts | 60.8 | |
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Vintage clothing | 58.3 | |
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Classic | 57.7 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221717/393,346,26,31/full/0/native.jpg)
AWS Rekognition
Age | 27-37 |
Gender | Male, 93.3% |
Happy | 86.1% |
Sad | 6.1% |
Calm | 5.1% |
Surprised | 1.6% |
Confused | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |
Angry | 0.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20221717/308,341,25,32/full/0/native.jpg)
AWS Rekognition
Age | 31-41 |
Gender | Male, 99.7% |
Calm | 99.9% |
Surprised | 0.1% |
Sad | 0% |
Disgusted | 0% |
Confused | 0% |
Happy | 0% |
Angry | 0% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/20221717/783,238,36,37/full/0/native.jpg)
AWS Rekognition
Age | 38-46 |
Gender | Male, 63% |
Happy | 85.6% |
Sad | 7.5% |
Fear | 3.2% |
Surprised | 1.8% |
Calm | 0.7% |
Confused | 0.5% |
Disgusted | 0.4% |
Angry | 0.3% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221717/455,395,271,380/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/677,215,168,377/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/829,157,180,635/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/287,328,83,158/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/139,452,300,321/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/363,199,212,161/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/354,330,81,161/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/38,325,256,171/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/311,327,96,169/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20221717/414,349,104,112/full/0/native.jpg)
Person | 99.8% | |
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Categories
Imagga
interior objects | 79.3% | |
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streetview architecture | 15.4% | |
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events parties | 2.6% | |
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food drinks | 1.3% | |
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Captions
Microsoft
created on 2022-01-23
a group of people sitting at a table | 70.8% | |
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a group of people sitting in front of a store | 58.3% | |
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a group of people sitting at a table in front of a store | 58.2% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20221717/708,771,22,26/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20221717/991,381,18,44/full/0/native.jpg)
LIFW
![](https://ids.lib.harvard.edu/ids/iiif/20221717/991,381,19,120/full/0/native.jpg)
SALETA LIFW
![](https://ids.lib.harvard.edu/ids/iiif/20221717/993,434,15,66/full/0/native.jpg)
SALETA
![](https://ids.lib.harvard.edu/ids/iiif/20221717/486,785,39,17/full/0/native.jpg)
ct
![](https://ids.lib.harvard.edu/ids/iiif/20221717/485,771,210,38/full/0/native.jpg)
ct 211
![](https://ids.lib.harvard.edu/ids/iiif/20221717/518,771,176,37/full/0/native.jpg)
211