Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
vehicle | 95.5 | |
| ||
no person | 94.8 | |
| ||
transportation system | 94.4 | |
| ||
architecture | 94.1 | |
| ||
building | 93.6 | |
| ||
city | 93.5 | |
| ||
outdoors | 91.7 | |
| ||
sky | 91.6 | |
| ||
town | 91.5 | |
| ||
street | 90.9 | |
| ||
horizontal plane | 90.7 | |
| ||
travel | 89.9 | |
| ||
monochrome | 88.9 | |
| ||
industry | 85.1 | |
| ||
many | 85 | |
| ||
house | 83.3 | |
| ||
river | 83.1 | |
| ||
road | 82.9 | |
| ||
light | 82.8 | |
| ||
water | 82.7 | |
|
Imagga
created on 2022-01-09
Google
created on 2022-01-09
Cloud | 96.2 | |
| ||
Sky | 95.6 | |
| ||
Photograph | 94.2 | |
| ||
Building | 93.3 | |
| ||
Skyscraper | 92.1 | |
| ||
Black | 89.8 | |
| ||
Black-and-white | 87.7 | |
| ||
Style | 84 | |
| ||
Line | 82.8 | |
| ||
Monochrome | 79.7 | |
| ||
Monochrome photography | 78.6 | |
| ||
Tower block | 78.3 | |
| ||
Rectangle | 76.8 | |
| ||
City | 76.6 | |
| ||
Plant | 76.3 | |
| ||
Landscape | 76.1 | |
| ||
Tree | 75.1 | |
| ||
Urban design | 75 | |
| ||
Font | 74.9 | |
| ||
Condominium | 74.3 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 85.6% | |
| ||
nature landscape | 8.7% | |
| ||
beaches seaside | 1.7% | |
| ||
text visuals | 1.6% | |
|
Captions
Microsoft
created on 2022-01-09
an old photo of a bridge | 69.7% | |
| ||
an old photo of a train | 60.4% | |
| ||
old photo of a bridge | 60.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18811745/341,14,12,14/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/18811745/556,14,35,15/full/0/native.jpg)
KEA'
![](https://ids.lib.harvard.edu/ids/iiif/18811745/359,13,15,15/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/18811745/67,784,215,26/full/0/native.jpg)
22297YP.
![](https://ids.lib.harvard.edu/ids/iiif/18811745/341,11,403,19/full/0/native.jpg)
1 T STEINWEIS KEA' ETA
![](https://ids.lib.harvard.edu/ids/iiif/18811745/286,790,37,15/full/0/native.jpg)
.AJA
![](https://ids.lib.harvard.edu/ids/iiif/18811745/331,788,102,19/full/0/native.jpg)
АТОГАЯА?
![](https://ids.lib.harvard.edu/ids/iiif/18811745/67,784,474,26/full/0/native.jpg)
22297YP. .AJA АТОГАЯА? REAL LETSEIS
![](https://ids.lib.harvard.edu/ids/iiif/18811745/381,11,102,18/full/0/native.jpg)
STEINWEIS
![](https://ids.lib.harvard.edu/ids/iiif/18811745/708,15,35,15/full/0/native.jpg)
ETA
![](https://ids.lib.harvard.edu/ids/iiif/18811745/976,19,29,16/full/0/native.jpg)
та
![](https://ids.lib.harvard.edu/ids/iiif/18811745/484,789,57,15/full/0/native.jpg)
LETSEIS
![](https://ids.lib.harvard.edu/ids/iiif/18811745/439,789,37,17/full/0/native.jpg)
REAL
![](https://ids.lib.harvard.edu/ids/iiif/18811745/94,493,883,320/full/0/native.jpg)
====
22297 YP AH ATOZAAA2 YIN AT12 aMMIT2 .L.L
![](https://ids.lib.harvard.edu/ids/iiif/18811745/94,785,125,28/full/0/native.jpg)
22297
![](https://ids.lib.harvard.edu/ids/iiif/18811745/260,785,31,28/full/0/native.jpg)
YP
![](https://ids.lib.harvard.edu/ids/iiif/18811745/288,791,40,19/full/0/native.jpg)
AH
![](https://ids.lib.harvard.edu/ids/iiif/18811745/333,791,103,20/full/0/native.jpg)
ATOZAAA2
![](https://ids.lib.harvard.edu/ids/iiif/18811745/486,790,62,19/full/0/native.jpg)
AT12
![](https://ids.lib.harvard.edu/ids/iiif/18811745/551,789,104,21/full/0/native.jpg)
aMMIT2
![](https://ids.lib.harvard.edu/ids/iiif/18811745/659,789,37,19/full/0/native.jpg)
.L.L
![](https://ids.lib.harvard.edu/ids/iiif/18811745/919,493,58,19/full/0/native.jpg)
====
![](https://ids.lib.harvard.edu/ids/iiif/18811745/441,791,40,20/full/0/native.jpg)
YIN