Machine Generated Data
Tags
Amazon
created on 2022-01-21
Clarifai
created on 2023-10-26
people | 99.7 | |
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adult | 95.5 | |
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monochrome | 94.8 | |
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group together | 94.6 | |
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man | 93.8 | |
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no person | 91.9 | |
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athlete | 91.5 | |
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street | 91.2 | |
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vehicle | 90.2 | |
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group | 90.2 | |
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sports equipment | 87.9 | |
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transportation system | 87.8 | |
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three | 86.6 | |
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room | 85.8 | |
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furniture | 84.8 | |
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two | 83.8 | |
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vintage | 83.1 | |
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gas station | 82.9 | |
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family | 81.3 | |
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town | 81.3 | |
|
Imagga
created on 2022-01-21
signboard | 100 | |
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scoreboard | 88.3 | |
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board | 64.8 | |
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billboard | 45.7 | |
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structure | 34.1 | |
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sky | 31.9 | |
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city | 30.8 | |
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travel | 24.6 | |
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water | 23.4 | |
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architecture | 22.7 | |
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sea | 21.9 | |
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landscape | 21.6 | |
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clouds | 21.1 | |
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building | 20.1 | |
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night | 17.8 | |
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river | 16.9 | |
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cityscape | 16.1 | |
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tower | 15.2 | |
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ocean | 14.9 | |
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urban | 14.9 | |
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landmark | 14.4 | |
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summer | 14.1 | |
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tourism | 14 | |
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boat | 14 | |
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cloud | 13.8 | |
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sunset | 13.5 | |
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light | 13.4 | |
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ship | 13.4 | |
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island | 12.8 | |
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coast | 12.6 | |
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skyline | 12.4 | |
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buildings | 12.3 | |
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scene | 12.1 | |
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horizon | 11.7 | |
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harbor | 11.6 | |
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modern | 11.2 | |
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outdoors | 11.2 | |
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day | 11 | |
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transportation | 10.8 | |
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vacation | 10.6 | |
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port | 10.6 | |
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bridge | 10.5 | |
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sun | 9.7 | |
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downtown | 9.6 | |
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bay | 9.4 | |
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town | 9.3 | |
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lights | 9.3 | |
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tree | 9.2 | |
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transport | 9.1 | |
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road | 9 | |
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clock | 8.9 | |
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reflection | 8.9 | |
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trees | 8.9 | |
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skyscraper | 8.6 | |
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car | 8.4 | |
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evening | 8.4 | |
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digital clock | 8.3 | |
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air | 8.3 | |
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shipping | 8.1 | |
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business | 7.9 | |
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nobody | 7.8 | |
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construction | 7.7 | |
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industry | 7.7 | |
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dusk | 7.6 | |
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panorama | 7.6 | |
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beach | 7.6 | |
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tall | 7.5 | |
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famous | 7.4 | |
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shore | 7.4 | |
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industrial | 7.3 | |
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tourist | 7.3 | |
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weather | 7.2 | |
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holiday | 7.2 | |
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sunlight | 7.1 | |
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mountain | 7.1 | |
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scenic | 7 | |
|
Google
created on 2022-01-21
Building | 87 | |
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Black-and-white | 83.2 | |
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Window | 82.7 | |
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Tints and shades | 76.4 | |
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Gas | 76.3 | |
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Font | 76.1 | |
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Monochrome photography | 72.8 | |
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Monochrome | 72.3 | |
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Filling station | 70.7 | |
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Advertising | 67.4 | |
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Door | 66.7 | |
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Facade | 65.8 | |
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Room | 63.7 | |
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Rectangle | 63.2 | |
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Signage | 63.1 | |
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Motor vehicle | 60.9 | |
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History | 59.1 | |
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Machine | 57.7 | |
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Plant | 55.5 | |
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Street | 54.2 | |
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Microsoft
created on 2022-01-21
text | 99.5 | |
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outdoor | 87.1 | |
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black and white | 72.3 | |
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billboard | 53 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18829482/656,502,14,18/full/0/native.jpg)
AWS Rekognition
Age | 25-35 |
Gender | Male, 81.2% |
Happy | 85.7% |
Calm | 7.7% |
Sad | 2.5% |
Disgusted | 1.7% |
Angry | 1.3% |
Confused | 0.5% |
Surprised | 0.3% |
Fear | 0.2% |
Feature analysis
Categories
Imagga
interior objects | 84.2% | |
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text visuals | 9.5% | |
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paintings art | 3.5% | |
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streetview architecture | 2% | |
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Captions
Microsoft
created on 2022-01-21
a store front at day | 82.1% | |
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a store inside of a building | 82% | |
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a sign in front of a building | 71% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18829482/337,356,45,25/full/0/native.jpg)
oak
![](https://ids.lib.harvard.edu/ids/iiif/18829482/337,354,133,32/full/0/native.jpg)
oak farms
![](https://ids.lib.harvard.edu/ids/iiif/18829482/589,363,57,31/full/0/native.jpg)
dairy
![](https://ids.lib.harvard.edu/ids/iiif/18829482/588,363,123,33/full/0/native.jpg)
dairy foods
![](https://ids.lib.harvard.edu/ids/iiif/18829482/649,366,62,28/full/0/native.jpg)
foods
![](https://ids.lib.harvard.edu/ids/iiif/18829482/389,355,81,31/full/0/native.jpg)
farms
![](https://ids.lib.harvard.edu/ids/iiif/18829482/394,338,78,17/full/0/native.jpg)
ALLIED
![](https://ids.lib.harvard.edu/ids/iiif/18829482/537,339,46,24/full/0/native.jpg)
CHEK
![](https://ids.lib.harvard.edu/ids/iiif/18829482/593,347,65,17/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/18829482/510,230,31,25/full/0/native.jpg)
CREAM
![](https://ids.lib.harvard.edu/ids/iiif/18829482/482,338,102,28/full/0/native.jpg)
KWIK CHEK
![](https://ids.lib.harvard.edu/ids/iiif/18829482/992,206,13,39/full/0/native.jpg)
DOD
![](https://ids.lib.harvard.edu/ids/iiif/18829482/482,340,46,26/full/0/native.jpg)
KWIK
![](https://ids.lib.harvard.edu/ids/iiif/18829482/497,230,47,29/full/0/native.jpg)
IF CREAM
![](https://ids.lib.harvard.edu/ids/iiif/18829482/958,714,32,25/full/0/native.jpg)
1425
![](https://ids.lib.harvard.edu/ids/iiif/18829482/619,619,18,5/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18829482/499,241,18,17/full/0/native.jpg)
IF
![](https://ids.lib.harvard.edu/ids/iiif/18829482/613,589,25,13/full/0/native.jpg)
Sing Chier
![](https://ids.lib.harvard.edu/ids/iiif/18829482/343,389,33,7/full/0/native.jpg)
was
![](https://ids.lib.harvard.edu/ids/iiif/18829482/324,485,35,12/full/0/native.jpg)
MoMalei
![](https://ids.lib.harvard.edu/ids/iiif/18829482/989,292,20,258/full/0/native.jpg)
MJI7-YT37°-X
![](https://ids.lib.harvard.edu/ids/iiif/18829482/969,710,15,8/full/0/native.jpg)
TOOM
![](https://ids.lib.harvard.edu/ids/iiif/18829482/439,495,22,7/full/0/native.jpg)
TEARCO
![](https://ids.lib.harvard.edu/ids/iiif/18829482/544,363,32,7/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/18829482/337,202,675,350/full/0/native.jpg)
Tarms
F CREAM
ALLIED KWIK CHEK STORE L
oak farms
dairų foods
DOA
MJ17-YT37A°2-XAa
![](https://ids.lib.harvard.edu/ids/iiif/18829482/494,203,57,45/full/0/native.jpg)
Tarms
![](https://ids.lib.harvard.edu/ids/iiif/18829482/505,241,17,22/full/0/native.jpg)
F
![](https://ids.lib.harvard.edu/ids/iiif/18829482/514,232,31,28/full/0/native.jpg)
CREAM
![](https://ids.lib.harvard.edu/ids/iiif/18829482/390,336,97,31/full/0/native.jpg)
ALLIED
![](https://ids.lib.harvard.edu/ids/iiif/18829482/483,339,51,30/full/0/native.jpg)
KWIK
![](https://ids.lib.harvard.edu/ids/iiif/18829482/521,341,68,31/full/0/native.jpg)
CHEK
![](https://ids.lib.harvard.edu/ids/iiif/18829482/596,344,69,31/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/18829482/665,347,27,28/full/0/native.jpg)
L
![](https://ids.lib.harvard.edu/ids/iiif/18829482/337,352,54,39/full/0/native.jpg)
oak
![](https://ids.lib.harvard.edu/ids/iiif/18829482/393,354,83,39/full/0/native.jpg)
farms
![](https://ids.lib.harvard.edu/ids/iiif/18829482/571,364,78,36/full/0/native.jpg)
dairų
![](https://ids.lib.harvard.edu/ids/iiif/18829482/651,364,73,36/full/0/native.jpg)
foods
![](https://ids.lib.harvard.edu/ids/iiif/18829482/993,208,17,42/full/0/native.jpg)
DOA
![](https://ids.lib.harvard.edu/ids/iiif/18829482/992,296,21,256/full/0/native.jpg)
MJ17-YT37A°2-XAa