Machine Generated Data
Tags
Amazon
created on 2019-05-30
Human | 98.9 | |
| ||
Person | 98.9 | |
| ||
Advertisement | 98.7 | |
| ||
Collage | 98.7 | |
| ||
Poster | 98.7 | |
| ||
Indoors | 98.5 | |
| ||
Interior Design | 98.5 | |
| ||
Person | 97.8 | |
| ||
Person | 97.5 | |
| ||
Person | 95.6 | |
| ||
Person | 95.4 | |
| ||
Person | 94.8 | |
| ||
Road | 94 | |
| ||
Person | 94 | |
| ||
Person | 93.6 | |
| ||
Person | 93.2 | |
| ||
Tarmac | 91.2 | |
| ||
Asphalt | 91.2 | |
| ||
Pedestrian | 90.5 | |
| ||
Person | 88.6 | |
| ||
Person | 87.3 | |
| ||
Person | 85.8 | |
| ||
Person | 84.2 | |
| ||
Person | 83.6 | |
| ||
Town | 80.5 | |
| ||
Urban | 80.5 | |
| ||
Metropolis | 80.5 | |
| ||
Building | 80.5 | |
| ||
City | 80.5 | |
| ||
Person | 80.5 | |
| ||
Person | 80.2 | |
| ||
Transportation | 79.9 | |
| ||
Person | 79.4 | |
| ||
Vehicle | 77.4 | |
| ||
Person | 75.8 | |
| ||
Person | 72.8 | |
| ||
Person | 72.8 | |
| ||
Person | 66.4 | |
| ||
Machine | 66 | |
| ||
Wheel | 66 | |
| ||
Car | 64.8 | |
| ||
Automobile | 64.8 | |
| ||
Person | 64.8 | |
| ||
Person | 63.9 | |
| ||
Person | 63.9 | |
| ||
Mirror | 63 | |
| ||
Truck | 61.9 | |
| ||
Person | 61.9 | |
| ||
Electronics | 61.7 | |
| ||
Screen | 61.7 | |
| ||
Person | 61.2 | |
| ||
Person | 60.8 | |
| ||
Person | 60.1 | |
| ||
Monitor | 60.1 | |
| ||
Display | 60.1 | |
| ||
Person | 59.4 | |
| ||
Horse | 58.5 | |
| ||
Mammal | 58.5 | |
| ||
Animal | 58.5 | |
| ||
Car Mirror | 57.8 | |
| ||
Car | 56.9 | |
| ||
Home Decor | 56.2 | |
| ||
Billboard | 55.4 | |
| ||
Person | 53.9 | |
| ||
Person | 50.7 | |
| ||
Horse | 50.3 | |
| ||
Person | 48.9 | |
| ||
Person | 47.8 | |
| ||
Person | 47.6 | |
| ||
Person | 41.6 | |
|
Clarifai
created on 2019-05-30
Imagga
created on 2019-05-30
snow | 65.6 | |
| ||
winter | 33.2 | |
| ||
city | 32.4 | |
| ||
weather | 29.5 | |
| ||
architecture | 24.3 | |
| ||
urban | 22.7 | |
| ||
building | 21.8 | |
| ||
travel | 21.1 | |
| ||
cold | 20.7 | |
| ||
sky | 19.1 | |
| ||
film | 17.5 | |
| ||
negative | 17.2 | |
| ||
old | 16.7 | |
| ||
landscape | 16.4 | |
| ||
night | 16 | |
| ||
structure | 15.9 | |
| ||
street | 15.6 | |
| ||
town | 14.8 | |
| ||
billboard | 14.2 | |
| ||
light | 14 | |
| ||
bridge | 13.7 | |
| ||
transportation | 13.4 | |
| ||
signboard | 13.3 | |
| ||
tower | 12.5 | |
| ||
house | 11.7 | |
| ||
river | 11.6 | |
| ||
tree | 10.9 | |
| ||
road | 10.8 | |
| ||
black | 10.8 | |
| ||
history | 10.7 | |
| ||
plaza | 10.3 | |
| ||
conveyance | 10.2 | |
| ||
season | 10.1 | |
| ||
district | 9.7 | |
| ||
sun | 9.7 | |
| ||
tramway | 9.7 | |
| ||
cityscape | 9.5 | |
| ||
buildings | 9.4 | |
| ||
wall | 9.4 | |
| ||
water | 9.3 | |
| ||
ice | 9.2 | |
| ||
outdoor | 9.2 | |
| ||
trees | 8.9 | |
| ||
brick | 8.5 | |
| ||
car | 8.4 | |
| ||
window | 8.4 | |
| ||
park | 8.4 | |
| ||
ski slope | 8.4 | |
| ||
horizontal | 8.4 | |
| ||
exterior | 8.3 | |
| ||
historic | 8.2 | |
| ||
tourism | 8.2 | |
| ||
transport | 8.2 | |
| ||
art | 7.8 | |
| ||
storm | 7.7 | |
| ||
residential | 7.7 | |
| ||
roof | 7.6 | |
| ||
photographic paper | 7.6 | |
| ||
frame | 7.5 | |
| ||
destination | 7.5 | |
| ||
evening | 7.5 | |
| ||
outdoors | 7.5 | |
| ||
shop | 7.4 | |
| ||
design | 7.3 | |
| ||
reflection | 7.3 | |
| ||
dirty | 7.2 | |
|
Google
created on 2019-05-30
White | 97.1 | |
| ||
Black | 96.5 | |
| ||
Black-and-white | 96.1 | |
| ||
Photograph | 96.1 | |
| ||
Monochrome photography | 89.7 | |
| ||
Snapshot | 86.6 | |
| ||
Monochrome | 86.1 | |
| ||
Photography | 81.3 | |
| ||
Architecture | 78.7 | |
| ||
Urban area | 78 | |
| ||
Street | 77.3 | |
| ||
Window | 74.7 | |
| ||
Photographic paper | 66.3 | |
| ||
Reflection | 66.2 | |
| ||
Room | 65.7 | |
| ||
City | 62.1 | |
| ||
Stock photography | 62.1 | |
| ||
Building | 58.4 | |
| ||
Style | 56.4 | |
|
Microsoft
created on 2019-05-30
street | 98.7 | |
| ||
city | 98.5 | |
| ||
black and white | 94.2 | |
| ||
vehicle | 93.6 | |
| ||
car | 86 | |
| ||
land vehicle | 85 | |
| ||
people | 84.7 | |
| ||
billboard | 82.4 | |
| ||
building | 71.7 | |
| ||
bus | 69.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-47 |
Gender | Male, 50.1% |
Disgusted | 49.9% |
Happy | 49.6% |
Sad | 49.8% |
Calm | 49.7% |
Angry | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |