Machine Generated Data
Tags
Amazon
created on 2019-06-04
Nature | 99.8 | |
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Human | 99.6 | |
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Person | 99.6 | |
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Person | 99.2 | |
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Outdoors | 98.1 | |
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Person | 94.6 | |
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Snow | 91.7 | |
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Person | 87.5 | |
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Person | 85.7 | |
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Person | 83.9 | |
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Person | 77.8 | |
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Winter | 77.7 | |
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Fog | 71.8 | |
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Home Decor | 71.2 | |
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Storm | 70.1 | |
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Bench | 68.9 | |
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Furniture | 68.9 | |
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Person | 68.5 | |
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Pedestrian | 66.2 | |
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Person | 65.6 | |
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Person | 62.6 | |
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Person | 62.2 | |
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Building | 61.8 | |
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Rural | 61.8 | |
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Countryside | 61.8 | |
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Shelter | 61.8 | |
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Weather | 61.6 | |
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Office Building | 60.9 | |
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Blizzard | 58.9 | |
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Smoke | 58.6 | |
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Urban | 58.2 | |
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Sand | 57.5 | |
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Ice | 57.4 | |
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Person | 54.8 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
industry | 32.5 | |
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industrial | 31.8 | |
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architecture | 29.7 | |
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warehouse | 29.6 | |
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building | 27.3 | |
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steel | 23.2 | |
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sky | 23 | |
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construction | 22.3 | |
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factory | 21.6 | |
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structure | 19.7 | |
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tower | 18.8 | |
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city | 17.5 | |
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water | 17.4 | |
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urban | 16.6 | |
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power | 16 | |
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pollution | 15.4 | |
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bridge | 14.8 | |
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equipment | 14.6 | |
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shopping cart | 14.3 | |
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river | 14.2 | |
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tourism | 14 | |
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wheeled vehicle | 13.6 | |
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travel | 13.4 | |
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old | 13.2 | |
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plant | 12.9 | |
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device | 12.6 | |
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concrete | 12.4 | |
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heavy | 12.4 | |
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station | 11.9 | |
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machine | 11.8 | |
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manufacturing | 11.7 | |
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container | 11.6 | |
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handcart | 11.5 | |
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landscape | 11.2 | |
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street | 11 | |
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house | 11 | |
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business | 10.9 | |
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energy | 10.9 | |
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pier | 10.8 | |
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transportation | 10.8 | |
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gas | 10.6 | |
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work | 10.4 | |
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chimney | 9.8 | |
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production | 9.7 | |
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metal | 9.7 | |
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engineering | 9.5 | |
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window | 9.3 | |
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support | 9.3 | |
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town | 9.3 | |
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pipe | 8.9 | |
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technology | 8.9 | |
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tank | 8.9 | |
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fuel | 8.7 | |
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port | 8.7 | |
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crane | 8.4 | |
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oil | 8.4 | |
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exterior | 8.3 | |
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environment | 8.2 | |
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transport | 8.2 | |
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new | 8.1 | |
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history | 8.1 | |
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sea | 7.8 | |
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steam | 7.8 | |
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modern | 7.7 | |
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storage | 7.6 | |
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estate | 7.6 | |
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ship | 7.5 | |
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smoke | 7.4 | |
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road | 7.2 | |
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landmark | 7.2 | |
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shipping | 7.2 | |
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Google
created on 2019-06-04
Photograph | 94.8 | |
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Street | 90.6 | |
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Snapshot | 84.9 | |
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Road | 78.3 | |
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Infrastructure | 77.4 | |
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Alley | 73.2 | |
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Neighbourhood | 66.4 | |
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Vintage clothing | 66 | |
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Pedestrian | 65.5 | |
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Photography | 62.4 | |
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Monochrome | 60.1 | |
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Thoroughfare | 57.7 | |
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Black-and-white | 56.4 | |
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City | 51.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-38 |
Gender | Female, 53.1% |
Sad | 49% |
Surprised | 45.6% |
Angry | 46.3% |
Disgusted | 47.4% |
Confused | 45.7% |
Happy | 45.8% |
Calm | 45.3% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Sad | 50.4% |
Confused | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
AWS Rekognition
Age | 14-25 |
Gender | Female, 50.3% |
Calm | 49.6% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.6% |
Happy | 49.8% |
Disgusted | 49.7% |
Surprised | 49.6% |