Machine Generated Data
Tags
Amazon
created on 2022-03-18
Clarifai
created on 2025-01-10
Imagga
created on 2022-03-18
| vehicle | 38.3 | |
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| wheeled vehicle | 28.5 | |
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| ship | 27.6 | |
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| car | 26.6 | |
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| mobile home | 25.7 | |
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| sea | 22.7 | |
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| sky | 22.3 | |
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| trailer | 22.3 | |
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| aircraft | 21.6 | |
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| housing | 21.3 | |
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| travel | 21.1 | |
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| transportation | 19.7 | |
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| water | 18.7 | |
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| vessel | 18.3 | |
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| structure | 18.2 | |
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| military vehicle | 18 | |
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| ocean | 17.4 | |
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| boat | 16.5 | |
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| transport | 16.4 | |
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| main rotor | 16 | |
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| truck | 15.8 | |
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| motor vehicle | 15.4 | |
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| harbor | 14.4 | |
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| rotor | 13.2 | |
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| conveyance | 12.9 | |
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| clouds | 12.7 | |
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| beach | 12.7 | |
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| mechanism | 12.6 | |
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| craft | 12.6 | |
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| coast | 12.6 | |
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| device | 11.7 | |
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| airplane | 11.1 | |
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| road | 10.8 | |
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| warplane | 10.6 | |
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| port | 10.6 | |
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| sand | 10.6 | |
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| old | 10.5 | |
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| industry | 10.3 | |
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| tank | 10 | |
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| industrial | 10 | |
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| tourism | 9.9 | |
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| rotating mechanism | 9.9 | |
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| vacation | 9.8 | |
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| aviation | 9.8 | |
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| landscape | 9.7 | |
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| military | 9.7 | |
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| summer | 9.7 | |
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| power | 9.2 | |
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| propeller | 9.2 | |
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| island | 9.2 | |
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| danger | 9.1 | |
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| mountain | 8.9 | |
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| pier | 8.8 | |
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| dock | 8.8 | |
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| plane | 8.7 | |
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| automobile | 8.6 | |
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| cloud | 8.6 | |
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| vintage | 8.3 | |
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| environment | 8.2 | |
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| war | 8.1 | |
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| scene | 7.8 | |
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| engine | 7.7 | |
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| auto | 7.7 | |
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| liner | 7.4 | |
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| shore | 7.4 | |
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| air | 7.4 | |
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| tourist | 7.3 | |
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| holiday | 7.2 | |
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| scenic | 7 | |
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Google
created on 2022-03-18
| Sky | 93 | |
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| Vehicle | 92.2 | |
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| Motor vehicle | 91 | |
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| Automotive lighting | 86.3 | |
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| Window | 83.6 | |
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| Car | 80.2 | |
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| Automotive exterior | 77.9 | |
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| Plant | 76.3 | |
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| Tree | 73.6 | |
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| Wheel | 73.1 | |
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| Classic car | 70.2 | |
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| Monochrome | 69.3 | |
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| Machine | 68.8 | |
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| Classic | 68 | |
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| Aviation | 67.7 | |
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| Monochrome photography | 66.5 | |
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| Travel trailer | 65.6 | |
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| Landscape | 65.2 | |
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| Luxury vehicle | 60.7 | |
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| Automotive wheel system | 60.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-43 |
| Gender | Female, 79% |
| Happy | 94.7% |
| Confused | 1.4% |
| Angry | 1.2% |
| Sad | 0.8% |
| Surprised | 0.6% |
| Disgusted | 0.5% |
| Calm | 0.4% |
| Fear | 0.3% |
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 62.4% |
| Calm | 82.8% |
| Sad | 5.6% |
| Angry | 4.8% |
| Fear | 3.3% |
| Happy | 1.7% |
| Confused | 0.7% |
| Surprised | 0.5% |
| Disgusted | 0.5% |
Feature analysis
Categories
Imagga
| cars vehicles | 99.9% | |
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Captions
Microsoft
created on 2022-03-18
| a group of people riding on the back of a truck | 50.1% | |
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| a group of men riding on the back of a truck | 41.8% | |
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| a man driving a car | 40.2% | |
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Text analysis
Amazon
35113
II II
Hrinith
E EE
3SI13
II
Hrinith
E
EE
3SI13