Machine Generated Data
Tags
Amazon
created on 2022-01-15
| Person | 98.9 | |
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| Human | 98.9 | |
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| Person | 97.4 | |
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| Person | 93.6 | |
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| Person | 92.9 | |
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| Outdoors | 88.2 | |
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| Nature | 87.4 | |
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| Clothing | 85.9 | |
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| Apparel | 85.9 | |
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| People | 73.7 | |
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| Shelter | 73.2 | |
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| Rural | 73.2 | |
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| Countryside | 73.2 | |
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| Building | 73.2 | |
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| Face | 72.5 | |
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| Meal | 67.8 | |
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| Food | 67.8 | |
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| Person | 67.7 | |
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| Suit | 66.3 | |
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| Coat | 66.3 | |
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| Overcoat | 66.3 | |
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| Crowd | 63.1 | |
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| Female | 60.3 | |
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| Furniture | 60.3 | |
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| Leisure Activities | 58.5 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
| old | 19.5 | |
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| architecture | 18.7 | |
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| building | 17.1 | |
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| vehicle | 16 | |
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| carriage | 15.2 | |
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| wheeled vehicle | 15.1 | |
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| structure | 15.1 | |
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| city | 15 | |
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| travel | 14.1 | |
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| history | 13.4 | |
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| sculpture | 12.7 | |
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| art | 12.5 | |
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| ancient | 11.2 | |
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| graffito | 11.2 | |
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| culture | 11.1 | |
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| bench | 10.6 | |
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| decoration | 10.3 | |
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| grunge | 10.2 | |
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| seat | 10 | |
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| landmark | 9.9 | |
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| antique | 9.7 | |
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| world | 9.4 | |
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| park | 9.3 | |
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| tourism | 9.1 | |
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| religion | 9 | |
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| scene | 8.6 | |
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| tree | 8.5 | |
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| park bench | 8.4 | |
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| outdoor | 8.4 | |
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| traditional | 8.3 | |
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| stone | 8.3 | |
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| historic | 8.2 | |
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| chair | 8 | |
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| car | 7.9 | |
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| balcony | 7.8 | |
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| black | 7.8 | |
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| statue | 7.7 | |
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| historical | 7.5 | |
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| dark | 7.5 | |
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| famous | 7.4 | |
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| horse cart | 7.4 | |
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| motor vehicle | 7.4 | |
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| fountain | 7.3 | |
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| water | 7.3 | |
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| design | 7.3 | |
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Google
created on 2022-01-15
| Table | 89.1 | |
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| Chair | 84.9 | |
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| Adaptation | 79.3 | |
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| Tints and shades | 76.7 | |
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| Monochrome photography | 76.1 | |
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| Monochrome | 74.4 | |
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| Motor vehicle | 72.7 | |
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| Vintage clothing | 68 | |
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| History | 65.4 | |
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| Room | 64.5 | |
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| Plant | 63.9 | |
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| Rectangle | 62.6 | |
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| Art | 62.3 | |
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| Sitting | 58.3 | |
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| Oval | 56.8 | |
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| Photographic paper | 54.8 | |
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| Team | 53.7 | |
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| House | 53 | |
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| Grass | 52.2 | |
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| Visual arts | 51.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 99.5% |
| Happy | 90% |
| Surprised | 3.3% |
| Fear | 2% |
| Calm | 1.8% |
| Sad | 1.6% |
| Confused | 0.6% |
| Angry | 0.4% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 94.7% |
| Calm | 36.3% |
| Sad | 29.1% |
| Angry | 9.4% |
| Disgusted | 7.1% |
| Happy | 6.5% |
| Surprised | 5.6% |
| Fear | 3.7% |
| Confused | 2.3% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 99.9% |
| Calm | 38.4% |
| Happy | 26.2% |
| Sad | 9.9% |
| Confused | 9.5% |
| Surprised | 6.1% |
| Fear | 5.1% |
| Disgusted | 3.6% |
| Angry | 1.3% |
Feature analysis
Categories
Imagga
| paintings art | 65.4% | |
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| streetview architecture | 19.8% | |
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| cars vehicles | 5.2% | |
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| beaches seaside | 5.1% | |
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| interior objects | 1.7% | |
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Captions
Microsoft
created on 2022-01-15
| a vintage photo of a group of people sitting in front of a building | 85.6% | |
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| a group of people sitting in front of a building | 85.5% | |
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| a vintage photo of a group of people in front of a building | 85.2% | |
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Text analysis
Amazon
COVELIA
VAGGY
y