Machine Generated Data
Tags
Amazon
created on 2023-10-06
Railway | 98 | |
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Terminal | 98 | |
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Train Station | 98 | |
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Transportation | 98 | |
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Vehicle | 98 | |
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Person | 97.6 | |
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Person | 97.4 | |
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Train | 83.9 | |
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Person | 63.4 | |
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Road | 56.1 | |
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Clarifai
created on 2018-05-11
railway | 100 | |
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train | 100 | |
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locomotive | 99.8 | |
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transportation system | 99.6 | |
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track | 99.4 | |
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engine | 96.4 | |
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road | 96.4 | |
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guidance | 95.4 | |
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street | 94.9 | |
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wagon | 94.2 | |
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station | 93.7 | |
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trip (journey) | 93.4 | |
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horizontal plane | 93 | |
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no person | 92.6 | |
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line | 92.4 | |
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tram | 91.6 | |
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traffic | 91.1 | |
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commuter | 90.8 | |
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travel | 89.6 | |
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monochrome | 89.3 | |
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Imagga
created on 2023-10-06
track | 100 | |
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train | 42.4 | |
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railway | 42.2 | |
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railroad | 41.3 | |
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transportation | 37.7 | |
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rail | 33.4 | |
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travel | 31.7 | |
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transport | 25.6 | |
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road | 24.4 | |
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rails | 23.7 | |
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station | 23.3 | |
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way | 22 | |
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tracks | 20.7 | |
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tie | 19.7 | |
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industry | 18.8 | |
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landscape | 18.6 | |
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steel | 17.7 | |
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old | 17.4 | |
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tree | 16.9 | |
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line | 16.3 | |
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metal | 16.1 | |
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journey | 16 | |
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iron | 14.9 | |
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brace | 14.8 | |
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outdoor | 13.8 | |
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industrial | 13.6 | |
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path | 13.2 | |
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electric | 13.1 | |
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transit | 12.8 | |
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sky | 12.8 | |
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building | 12.7 | |
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trees | 12.5 | |
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rural | 12.3 | |
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perspective | 12.3 | |
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city | 11.6 | |
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forest | 11.3 | |
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outdoors | 11.2 | |
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strengthener | 11.1 | |
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cable | 10.6 | |
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sidewalk | 10.1 | |
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device | 9.6 | |
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wire | 9.6 | |
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direction | 9.5 | |
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trip | 9.4 | |
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architecture | 9.4 | |
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street | 9.2 | |
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park | 9.1 | |
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lines | 9 | |
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structure | 8.8 | |
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urban | 8.7 | |
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stone | 8.4 | |
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summer | 8.4 | |
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wood | 8.3 | |
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tower | 8.1 | |
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mountain | 8 | |
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locomotive | 7.9 | |
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day | 7.9 | |
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cargo | 7.8 | |
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cold | 7.8 | |
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sunny | 7.8 | |
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construction | 7.7 | |
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frost | 7.7 | |
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winter | 7.7 | |
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rusty | 7.6 | |
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traffic | 7.6 | |
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tourism | 7.4 | |
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mountains | 7.4 | |
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speed | 7.3 | |
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lake | 7.3 | |
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horizon | 7.2 | |
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snow | 7.2 | |
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river | 7.1 | |
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autumn | 7 | |
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Google
created on 2018-05-11
track | 99 | |
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transport | 95.4 | |
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rail transport | 93.7 | |
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black and white | 89.1 | |
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train station | 71.8 | |
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residential area | 71.5 | |
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monochrome photography | 70.5 | |
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monochrome | 69.8 | |
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line | 65.4 | |
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train | 64.5 | |
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tree | 60.9 | |
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lane | 56.1 | |
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rolling stock | 54.9 | |
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suburb | 50.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Male, 97.5% |
Calm | 63.6% |
Happy | 15.4% |
Disgusted | 10.5% |
Surprised | 7.8% |
Confused | 6.4% |
Fear | 6% |
Sad | 2.3% |
Angry | 0.5% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 85.2% |
Happy | 31.4% |
Calm | 22.8% |
Surprised | 12% |
Angry | 9.8% |
Disgusted | 9.3% |
Fear | 9% |
Confused | 5.3% |
Sad | 5.1% |
Feature analysis
Categories
Imagga
streetview architecture | 71.9% | |
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nature landscape | 16.8% | |
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cars vehicles | 8.5% | |
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paintings art | 1.7% | |
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Captions
Microsoft
created on 2018-05-11
a black and white photo of a train | 79.7% | |
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a black and white photo of a railroad track | 79.6% | |
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a black and white photo of a train track | 79.5% | |
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Text analysis
Amazon

TELL

SIGNS

VILLIAN TELL

USE

VILLIAN

CHAFIN

CNN

CNN 1/20

HR

HR EDSAG

1/20

EDSAG

SIGNS

SIGNS