Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 97.2 | |
| ||
Building | 95.5 | |
| ||
Person | 90.5 | |
| ||
Person | 87.2 | |
| ||
Water | 86.2 | |
| ||
Person | 83.8 | |
| ||
Arena | 77.7 | |
| ||
Chair | 76.2 | |
| ||
Furniture | 76.2 | |
| ||
Stadium | 74.7 | |
| ||
Architecture | 73.1 | |
| ||
Waterfront | 72.4 | |
| ||
Nature | 72.3 | |
| ||
Outdoors | 70.2 | |
| ||
People | 65.1 | |
| ||
Amphitheatre | 64.8 | |
| ||
Amphitheater | 64.8 | |
| ||
Crowd | 64.4 | |
| ||
Indoors | 61.5 | |
| ||
Field | 60.1 | |
| ||
Stage | 59.4 | |
| ||
Pool | 57.6 | |
| ||
Pier | 57.3 | |
| ||
Port | 57.3 | |
| ||
Dock | 57.3 | |
|
Clarifai
created on 2023-10-26
monochrome | 99.5 | |
| ||
watercraft | 98.5 | |
| ||
vehicle | 98.4 | |
| ||
people | 97.7 | |
| ||
no person | 97 | |
| ||
ship | 96.2 | |
| ||
boat | 95.9 | |
| ||
water | 95.8 | |
| ||
architecture | 95.7 | |
| ||
transportation system | 95.2 | |
| ||
sea | 93.5 | |
| ||
city | 93.2 | |
| ||
building | 93.2 | |
| ||
light | 91.7 | |
| ||
street | 91.6 | |
| ||
river | 91.5 | |
| ||
travel | 91.4 | |
| ||
bridge | 91 | |
| ||
war | 90.8 | |
| ||
group | 90.5 | |
|
Imagga
created on 2022-01-15
speedway | 55.7 | |
| ||
racetrack | 44.6 | |
| ||
course | 34.2 | |
| ||
travel | 28.2 | |
| ||
city | 26.7 | |
| ||
facility | 25.5 | |
| ||
sky | 25 | |
| ||
tourism | 23.9 | |
| ||
ship | 23.2 | |
| ||
water | 21.4 | |
| ||
sea | 20.7 | |
| ||
urban | 18.4 | |
| ||
landscape | 17.9 | |
| ||
liner | 17.4 | |
| ||
architecture | 17.2 | |
| ||
vacation | 15.6 | |
| ||
cityscape | 15.1 | |
| ||
boat | 14.9 | |
| ||
building | 14.6 | |
| ||
port | 14.5 | |
| ||
beach | 14.4 | |
| ||
summer | 14.2 | |
| ||
passenger ship | 14 | |
| ||
harbor | 13.5 | |
| ||
shore | 13 | |
| ||
town | 13 | |
| ||
sand | 12.7 | |
| ||
tourist | 12.7 | |
| ||
clouds | 12.7 | |
| ||
vessel | 12.7 | |
| ||
ocean | 12.6 | |
| ||
aerial | 12.6 | |
| ||
bridge | 12.6 | |
| ||
transportation | 12.6 | |
| ||
panorama | 12.4 | |
| ||
coast | 11.7 | |
| ||
structure | 11 | |
| ||
transport | 11 | |
| ||
tower | 10.7 | |
| ||
bay | 10.6 | |
| ||
center | 10.4 | |
| ||
buildings | 10.4 | |
| ||
trip | 10.4 | |
| ||
cloud | 10.3 | |
| ||
construction | 10.3 | |
| ||
day | 10.2 | |
| ||
street | 10.1 | |
| ||
road | 9.9 | |
| ||
boats | 9.7 | |
| ||
resort | 9.7 | |
| ||
scenic | 9.7 | |
| ||
scene | 9.5 | |
| ||
sunny | 9.5 | |
| ||
landmark | 9 | |
| ||
mountain | 9 | |
| ||
history | 8.9 | |
| ||
river | 8.9 | |
| ||
dock | 8.8 | |
| ||
deck | 8.6 | |
| ||
marine | 8.6 | |
| ||
jet | 8.5 | |
| ||
vehicle | 8.4 | |
| ||
exterior | 8.3 | |
| ||
sun | 8.1 | |
| ||
light | 8 | |
| ||
aircraft carrier | 7.9 | |
| ||
above | 7.7 | |
| ||
highway | 7.7 | |
| ||
traffic | 7.6 | |
| ||
skyline | 7.6 | |
| ||
park | 7.6 | |
| ||
car | 7.6 | |
| ||
journey | 7.5 | |
| ||
famous | 7.4 | |
| ||
warship | 7.4 | |
| ||
trees | 7.1 | |
|
Google
created on 2022-01-15
Black-and-white | 85.8 | |
| ||
Rectangle | 85.5 | |
| ||
Style | 83.9 | |
| ||
Font | 78.7 | |
| ||
Chair | 77.8 | |
| ||
Urban design | 77 | |
| ||
Monochrome photography | 75.7 | |
| ||
Monochrome | 74.2 | |
| ||
Symmetry | 70.8 | |
| ||
Room | 68.6 | |
| ||
Art | 67.7 | |
| ||
Recreation | 66.9 | |
| ||
City | 66.8 | |
| ||
Swimming pool | 63.4 | |
| ||
Stock photography | 62.7 | |
| ||
Metal | 58.8 | |
| ||
Still life photography | 58.6 | |
| ||
Sport venue | 55.2 | |
| ||
Photographic paper | 54.3 | |
| ||
Reflection | 53.9 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819656/199,400,10,12/full/0/native.jpg)
AWS Rekognition
Age | 23-33 |
Gender | Male, 86.2% |
Sad | 52.2% |
Happy | 16.4% |
Calm | 13% |
Fear | 7.8% |
Disgusted | 3.7% |
Angry | 2.4% |
Surprised | 2.3% |
Confused | 2.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18819656/442,432,9,12/full/0/native.jpg)
AWS Rekognition
Age | 10-18 |
Gender | Male, 96.4% |
Happy | 78% |
Sad | 8.8% |
Angry | 4.9% |
Calm | 3.1% |
Fear | 2.5% |
Confused | 1.1% |
Surprised | 0.8% |
Disgusted | 0.8% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819656/178,390,56,128/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819656/371,441,42,95/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819656/455,500,50,88/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819656/573,498,57,88/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18819656/314,459,26,66/full/0/native.jpg)
Person | 99.4% | |
|
Categories
Imagga
interior objects | 46.9% | |
| ||
cars vehicles | 33.6% | |
| ||
streetview architecture | 7.8% | |
| ||
beaches seaside | 7.5% | |
| ||
food drinks | 1.1% | |
| ||
text visuals | 1.1% | |
|
Captions
Microsoft
created on 2022-01-15
a group of people on a boat | 40.8% | |
| ||
an old photo of a boat | 40.7% | |
| ||
old photo of a boat | 40.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819656/981,352,33,173/full/0/native.jpg)
48320.
![](https://ids.lib.harvard.edu/ids/iiif/18819656/979,352,35,289/full/0/native.jpg)
KODAK--S 48320.
![](https://ids.lib.harvard.edu/ids/iiif/18819656/988,527,15,114/full/0/native.jpg)
KODAK--S
![](https://ids.lib.harvard.edu/ids/iiif/18819656/990,551,18,94/full/0/native.jpg)
2 -- XAgoN
![](https://ids.lib.harvard.edu/ids/iiif/18819656/997,551,5,11/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18819656/992,559,17,21/full/0/native.jpg)
--
![](https://ids.lib.harvard.edu/ids/iiif/18819656/991,578,16,67/full/0/native.jpg)
XAgoN