Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 95.9 | |
| ||
Human | 95.9 | |
| ||
Road | 89.8 | |
| ||
Building | 83.8 | |
| ||
Tarmac | 83.4 | |
| ||
Asphalt | 83.4 | |
| ||
Boat | 82.8 | |
| ||
Transportation | 82.8 | |
| ||
Vehicle | 82.8 | |
| ||
Person | 80.2 | |
| ||
Intersection | 72.2 | |
| ||
Downtown | 70.9 | |
| ||
City | 70.9 | |
| ||
Urban | 70.9 | |
| ||
Town | 70.9 | |
| ||
Room | 68.6 | |
| ||
Indoors | 68.6 | |
| ||
Architecture | 68.2 | |
| ||
Person | 68 | |
| ||
People | 64.6 | |
| ||
Person | 63.3 | |
| ||
Bird | 62.2 | |
| ||
Animal | 62.2 | |
| ||
Person | 61.2 | |
| ||
Water | 60.9 | |
| ||
Tree | 58.4 | |
| ||
Plant | 58.4 | |
| ||
Car | 58.3 | |
| ||
Automobile | 58.3 | |
| ||
Crowd | 58.3 | |
| ||
Waterfront | 57.7 | |
| ||
Palm Tree | 57.4 | |
| ||
Arecaceae | 57.4 | |
| ||
Arena | 56.4 | |
| ||
Person | 44.9 | |
|
Clarifai
created on 2023-10-26
people | 99.8 | |
| ||
many | 99.4 | |
| ||
group together | 98.6 | |
| ||
vehicle | 98.3 | |
| ||
transportation system | 97.5 | |
| ||
monochrome | 97.3 | |
| ||
group | 97.1 | |
| ||
adult | 96.1 | |
| ||
man | 94.1 | |
| ||
street | 93 | |
| ||
no person | 91.7 | |
| ||
athlete | 87.4 | |
| ||
spectator | 85.8 | |
| ||
crowd | 85 | |
| ||
two | 85 | |
| ||
road | 84.9 | |
| ||
competition | 84.6 | |
| ||
watercraft | 84.3 | |
| ||
one | 82 | |
| ||
several | 79.2 | |
|
Imagga
created on 2022-01-15
warship | 80.6 | |
| ||
ship | 73.6 | |
| ||
aircraft carrier | 73.1 | |
| ||
military vehicle | 61.1 | |
| ||
vehicle | 44.5 | |
| ||
vessel | 43.2 | |
| ||
submarine | 28.1 | |
| ||
city | 26.6 | |
| ||
sky | 22.4 | |
| ||
water | 22 | |
| ||
transportation | 21.5 | |
| ||
sea | 21.4 | |
| ||
travel | 21.1 | |
| ||
submersible | 20.5 | |
| ||
urban | 20.1 | |
| ||
transport | 20.1 | |
| ||
river | 17.8 | |
| ||
boat | 17.7 | |
| ||
craft | 17.7 | |
| ||
amphibian | 17.3 | |
| ||
architecture | 17.2 | |
| ||
building | 16.7 | |
| ||
port | 16.4 | |
| ||
tourism | 15.7 | |
| ||
landscape | 15.6 | |
| ||
cityscape | 15.1 | |
| ||
aircraft | 14.6 | |
| ||
airplane | 14.4 | |
| ||
motor vehicle | 14.3 | |
| ||
old | 13.9 | |
| ||
road | 13.5 | |
| ||
shore | 13 | |
| ||
air | 12.9 | |
| ||
industry | 12.8 | |
| ||
plane | 12.6 | |
| ||
airport | 12.5 | |
| ||
tower | 12.5 | |
| ||
night | 12.4 | |
| ||
industrial | 11.8 | |
| ||
landmark | 11.7 | |
| ||
business | 11.5 | |
| ||
wheeled vehicle | 11.5 | |
| ||
street | 11 | |
| ||
power | 10.9 | |
| ||
coast | 10.8 | |
| ||
harbor | 10.6 | |
| ||
flight | 10.5 | |
| ||
town | 10.2 | |
| ||
war | 10.1 | |
| ||
tank | 10 | |
| ||
light | 10 | |
| ||
ocean | 10 | |
| ||
sunset | 9.9 | |
| ||
dock | 9.7 | |
| ||
car | 9.7 | |
| ||
jet | 9.6 | |
| ||
panorama | 9.5 | |
| ||
fly | 9.3 | |
| ||
clouds | 9.3 | |
| ||
history | 8.9 | |
| ||
aviation | 8.8 | |
| ||
cargo | 8.7 | |
| ||
military | 8.7 | |
| ||
bridge | 8.6 | |
| ||
construction | 8.6 | |
| ||
vacation | 8.2 | |
| ||
tourist | 8.2 | |
| ||
twilight | 7.8 | |
| ||
modern | 7.7 | |
| ||
beach | 7.7 | |
| ||
traffic | 7.6 | |
| ||
flying | 7.6 | |
| ||
evening | 7.5 | |
| ||
lake | 7.3 | |
| ||
metal | 7.2 | |
| ||
world | 7.1 | |
| ||
summer | 7.1 | |
|
Google
created on 2022-01-15
Photograph | 94.1 | |
| ||
Black | 89.7 | |
| ||
Black-and-white | 83.8 | |
| ||
Field house | 83.2 | |
| ||
Rectangle | 78.9 | |
| ||
Tints and shades | 76.2 | |
| ||
Monochrome photography | 74 | |
| ||
Font | 73.6 | |
| ||
Monochrome | 72.9 | |
| ||
Palm tree | 72.6 | |
| ||
Chair | 72.5 | |
| ||
Tree | 69.2 | |
| ||
Room | 68.2 | |
| ||
Sports | 66.8 | |
| ||
Ball game | 64 | |
| ||
Stock photography | 63.8 | |
| ||
History | 62 | |
| ||
Arecales | 61.8 | |
| ||
Tennis court | 61.7 | |
| ||
Team sport | 61.1 | |
|
Microsoft
created on 2022-01-15
text | 99.9 | |
| ||
black and white | 88.8 | |
| ||
black | 74.6 | |
| ||
white | 66.9 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 37-45 |
Gender | Female, 83.4% |
Calm | 79.8% |
Sad | 17.8% |
Surprised | 0.9% |
Happy | 0.4% |
Disgusted | 0.4% |
Confused | 0.3% |
Fear | 0.2% |
Angry | 0.2% |
Feature analysis
Text analysis
Amazon
35188-C
KODAK
are
YTヨヨA°2- AO
つメSE
YT
ヨヨ
A
°
2-
AO
つメ
SE