Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
cell | 86 | |
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old | 43.2 | |
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architecture | 40.7 | |
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building | 35 | |
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ancient | 32 | |
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prison | 31.1 | |
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wall | 27 | |
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history | 26.8 | |
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fortress | 26.4 | |
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city | 25 | |
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stone | 23.6 | |
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vintage | 21.5 | |
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castle | 20.8 | |
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grunge | 20.4 | |
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correctional institution | 20.3 | |
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tourism | 19 | |
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antique | 18.2 | |
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travel | 16.9 | |
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house | 16.9 | |
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structure | 16.8 | |
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historic | 15.6 | |
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aged | 15.4 | |
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medieval | 15.4 | |
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brick | 15.3 | |
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penal institution | 15.2 | |
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retro | 14.8 | |
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construction | 14.5 | |
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urban | 14 | |
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window | 13.9 | |
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dark | 13.4 | |
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texture | 13.2 | |
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town | 13 | |
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dirty | 12.7 | |
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landmark | 12.6 | |
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tower | 12.5 | |
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art | 11.7 | |
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grungy | 11.4 | |
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light | 11.4 | |
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culture | 11.1 | |
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church | 11.1 | |
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institution | 11.1 | |
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pattern | 10.9 | |
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sky | 10.8 | |
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historical | 10.4 | |
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monument | 10.3 | |
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palace | 10.2 | |
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religion | 9.9 | |
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night | 9.8 | |
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black | 9.6 | |
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tunnel | 9.4 | |
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exterior | 9.2 | |
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street | 9.2 | |
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paper | 8.6 | |
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door | 8.6 | |
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way | 8.2 | |
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style | 8.2 | |
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tourist | 8.2 | |
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brown | 8.1 | |
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home | 8 | |
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design | 7.9 | |
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scene | 7.8 | |
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ruins | 7.8 | |
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ruin | 7.8 | |
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arch | 7.8 | |
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buildings | 7.6 | |
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famous | 7.4 | |
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landscape | 7.4 | |
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shadow | 7.2 | |
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fortification | 7.1 | |
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Google
created on 2019-11-16
Black | 97.1 | |
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White | 97.1 | |
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Photograph | 95.1 | |
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Black-and-white | 93.9 | |
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Monochrome | 90.3 | |
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Monochrome photography | 88.8 | |
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Wall | 81.3 | |
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Photography | 77.5 | |
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Architecture | 76.3 | |
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Shadow | 75.7 | |
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Stock photography | 67.6 | |
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Darkness | 63.4 | |
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Building | 58.4 | |
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Window | 56.8 | |
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Arch | 56.4 | |
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Style | 55 | |
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History | 54.1 | |
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Still life photography | 53.9 | |
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Tints and shades | 51.7 | |
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Microsoft
created on 2019-11-16
building | 99.7 | |
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black and white | 97.1 | |
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outdoor | 88.9 | |
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street | 87.3 | |
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monochrome | 86.3 | |
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castle | 81.6 | |
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brick | 81.2 | |
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city | 62.4 | |
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old | 44.3 | |
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stone | 15.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-35 |
Gender | Male, 50.2% |
Calm | 50% |
Happy | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Fear | 49.5% |
Sad | 49.9% |
Confused | 49.5% |
AWS Rekognition
Age | 32-48 |
Gender | Female, 50% |
Angry | 49.6% |
Fear | 49.6% |
Disgusted | 49.6% |
Sad | 49.9% |
Confused | 49.7% |
Calm | 49.6% |
Happy | 49.5% |
Surprised | 49.6% |
Feature analysis
Amazon
Person | 99.7% | |
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Text analysis
Amazon
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