Machine Generated Data
Tags
Amazon
created on 2021-12-15
Clarifai
created on 2023-10-25
Imagga
created on 2021-12-15
hole | 100 | |
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old | 27.8 | |
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architecture | 19.5 | |
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vintage | 19 | |
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grunge | 17.9 | |
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building | 17.4 | |
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film | 17 | |
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antique | 16.4 | |
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texture | 15.3 | |
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retro | 14.7 | |
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ancient | 14.7 | |
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sky | 14.7 | |
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negative | 13.7 | |
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art | 13.7 | |
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dirty | 13.5 | |
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stone | 13.5 | |
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slide | 12.7 | |
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movie | 12.6 | |
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frame | 12.5 | |
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damaged | 12.4 | |
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tourism | 12.4 | |
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black | 12 | |
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entertainment | 12 | |
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travel | 12 | |
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border | 11.8 | |
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landmark | 11.7 | |
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pattern | 11.6 | |
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rust | 11.6 | |
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rough | 10.9 | |
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city | 10.8 | |
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construction | 10.3 | |
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wall | 10.3 | |
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camera | 10.2 | |
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design | 10.1 | |
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historic | 10.1 | |
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history | 9.8 | |
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noise | 9.8 | |
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cinema | 9.8 | |
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close | 9.7 | |
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weathered | 9.5 | |
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graphic | 9.5 | |
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paper | 9.4 | |
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industry | 9.4 | |
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tower | 8.9 | |
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digital | 8.9 | |
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filmstrip | 8.9 | |
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scratch | 8.8 | |
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brick | 8.7 | |
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nobody | 8.5 | |
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roll | 8.5 | |
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grungy | 8.5 | |
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aged | 8.1 | |
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brown | 8.1 | |
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business | 7.9 | |
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textured | 7.9 | |
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photographic | 7.8 | |
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strip | 7.8 | |
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empty | 7.7 | |
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culture | 7.7 | |
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famous | 7.4 | |
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metal | 7.2 | |
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color | 7.2 | |
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steel | 7.1 | |
|
Google
created on 2021-12-15
Photograph | 94.3 | |
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White | 92.2 | |
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Organ | 90.5 | |
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Yellow | 84.7 | |
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Font | 83.8 | |
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Photographic film | 82.7 | |
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Line | 82.6 | |
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Rectangle | 80.6 | |
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People | 77.6 | |
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Snapshot | 74.3 | |
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Collectable | 71.4 | |
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Tints and shades | 71.2 | |
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Paper product | 68.7 | |
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Art | 68.5 | |
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Room | 68.3 | |
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Stock photography | 64.1 | |
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Negative | 62 | |
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Paper | 58.3 | |
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Square | 58.3 | |
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History | 56.3 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18783997/408,163,29,37/full/0/native.jpg)
AWS Rekognition
Age | 5-15 |
Gender | Male, 89.7% |
Calm | 95% |
Happy | 3.7% |
Surprised | 0.4% |
Confused | 0.3% |
Sad | 0.3% |
Angry | 0.2% |
Disgusted | 0% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18783997/869,128,15,19/full/0/native.jpg)
AWS Rekognition
Age | 5-15 |
Gender | Male, 92.3% |
Calm | 94.9% |
Happy | 3.2% |
Sad | 0.8% |
Angry | 0.4% |
Confused | 0.2% |
Surprised | 0.2% |
Disgusted | 0.2% |
Fear | 0% |
Feature analysis
Categories
Imagga
paintings art | 100% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18783997/346,57,45,16/full/0/native.jpg)
RATE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/339,99,60,17/full/0/native.jpg)
NCHETTE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/338,85,52,18/full/0/native.jpg)
TORE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/880,65,71,19/full/0/native.jpg)
LUNCHETTE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/339,70,49,19/full/0/native.jpg)
RUE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/878,49,66,20/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/891,41,37,14/full/0/native.jpg)
DRO
![](https://ids.lib.harvard.edu/ids/iiif/18783997/802,86,13,6/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18783997/217,8,22,8/full/0/native.jpg)
U.O
![](https://ids.lib.harvard.edu/ids/iiif/18783997/818,58,44,17/full/0/native.jpg)
RUSTINS
![](https://ids.lib.harvard.edu/ids/iiif/18783997/217,7,74,9/full/0/native.jpg)
THOR U.O
![](https://ids.lib.harvard.edu/ids/iiif/18783997/243,7,48,9/full/0/native.jpg)
THOR
![](https://ids.lib.harvard.edu/ids/iiif/18783997/822,72,20,7/full/0/native.jpg)
DONE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/345,50,611,72/full/0/native.jpg)
RATE
RUE
TORE
NCHETTE
STORE
LUNCHETTE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/354,53,37,24/full/0/native.jpg)
RATE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/345,71,44,25/full/0/native.jpg)
RUE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/351,85,41,22/full/0/native.jpg)
TORE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/348,99,54,23/full/0/native.jpg)
NCHETTE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/896,50,46,23/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/18783997/889,64,67,25/full/0/native.jpg)
LUNCHETTE