Machine Generated Data
Tags
Amazon
City | 99.8 | |
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Building | 99.8 | |
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Urban | 99.8 | |
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Road | 99.8 | |
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Town | 99.8 | |
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Street | 99.8 | |
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Person | 99.5 | |
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Human | 99.5 | |
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Person | 99.3 | |
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Pedestrian | 99.3 | |
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Person | 99.2 | |
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Person | 99.1 | |
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Person | 99 | |
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Person | 98.9 | |
| ||
Person | 98.9 | |
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Person | 98.4 | |
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Person | 97.6 | |
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Person | 97 | |
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Person | 96.7 | |
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Person | 95 | |
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Metropolis | 94.7 | |
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Person | 93.8 | |
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Person | 93.2 | |
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Outdoors | 90.3 | |
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Person | 89.9 | |
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Nature | 89.3 | |
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Art | 89.2 | |
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Drawing | 89.2 | |
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Neighborhood | 84.7 | |
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Architecture | 74 | |
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Person | 71.7 | |
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Downtown | 71.1 | |
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Sketch | 71 | |
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Transportation | 64.5 | |
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Vehicle | 64.5 | |
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Interior Design | 62.4 | |
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Indoors | 62.4 | |
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Alley | 61.5 | |
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Alleyway | 61.5 | |
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Tower | 59.1 | |
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Spire | 59.1 | |
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Steeple | 59.1 | |
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Path | 55.2 | |
|
Clarifai
Imagga
snow | 95.5 | |
| ||
sketch | 56.1 | |
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weather | 52.9 | |
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drawing | 42.2 | |
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city | 39.1 | |
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architecture | 38.3 | |
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building | 38.1 | |
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representation | 34.7 | |
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sky | 30.8 | |
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travel | 29.6 | |
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tourism | 22.3 | |
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street | 22.1 | |
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winter | 21.3 | |
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church | 21.3 | |
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old | 20.2 | |
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history | 18.8 | |
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urban | 18.4 | |
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landmark | 17.2 | |
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landscape | 16.4 | |
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cold | 16.4 | |
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tourist | 15.8 | |
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historic | 15.6 | |
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tree | 15.4 | |
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house | 15.4 | |
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tower | 15.2 | |
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buildings | 15.1 | |
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town | 14.8 | |
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ancient | 14.7 | |
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cathedral | 14.6 | |
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historical | 14.1 | |
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scenic | 14.1 | |
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season | 14 | |
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trees | 13.4 | |
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park | 13.2 | |
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holiday | 12.9 | |
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religion | 12.6 | |
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outdoor | 12.2 | |
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cloud | 12.1 | |
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structure | 11.9 | |
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capital | 11.4 | |
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scene | 11.3 | |
| ||
monument | 11.2 | |
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famous | 11.2 | |
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dome | 10.8 | |
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river | 10.7 | |
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palace | 10.5 | |
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cityscape | 10.4 | |
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ice | 10.4 | |
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night | 9.8 | |
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outdoors | 9.7 | |
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statue | 9.7 | |
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stone | 9.4 | |
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water | 9.3 | |
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window | 9.3 | |
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exterior | 9.2 | |
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mountain | 9.2 | |
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road | 9 | |
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scenery | 9 | |
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vacation | 9 | |
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facade | 8.9 | |
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forest | 8.7 | |
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roof | 8.7 | |
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bridge | 8.6 | |
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culture | 8.6 | |
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clouds | 8.5 | |
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wood | 8.3 | |
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vintage | 8.3 | |
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temple | 8.1 | |
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light | 8 | |
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area | 7.6 | |
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brick | 7.5 | |
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evening | 7.5 | |
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mountains | 7.4 | |
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people | 7.3 | |
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square | 7.2 | |
|
Street | 89.5 | |
| ||
Town | 85.8 | |
| ||
Pedestrian | 78 | |
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Infrastructure | 71.7 | |
| ||
Thoroughfare | 68.6 | |
| ||
Road | 67.8 | |
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Neighbourhood | 66.4 | |
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History | 64.5 | |
| ||
City | 64.2 | |
| ||
Illustration | 64 | |
| ||
Building | 63.7 | |
| ||
Monochrome | 60.1 | |
| ||
Black-and-white | 56.4 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.5% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.2% |
Happy | 49.5% |
Calm | 49.5% |
Feature analysis
Amazon
















Person | 99.5% | |
|
Captions
Microsoft
a vintage photo of a group of people walking down a street | 93.1% | |
| ||
a vintage photo of a group of people walking down the street | 93% | |
| ||
a vintage photo of a group of people on a street | 90.2% | |
|
Text analysis
Amazon

Paris

Charonne

Rue

Roubo,

Gondry.

Paris.

Gondry. 4, Rue Roubo, Paris

454. Paris. Rue de Charonne

de

DETROIT

454.

4,

Rue

MORLOGER

Roubo,

SEDUC
MORLOGER
DETROIT
454. Paris.-Rue de
Charonne
Gondry. 4, Rue Roubo, Paris
RHARCUTERIE

454.

Paris.-Rue

Paris

DETROIT

de

Gondry.

4,

SEDUC

Charonne

RHARCUTERIE