Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
| people | 100 | |
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| group | 99.6 | |
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| many | 99.2 | |
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| group together | 98.8 | |
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| adult | 98.4 | |
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| administration | 96.8 | |
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| several | 96.6 | |
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| leader | 94.9 | |
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| man | 92 | |
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| woman | 91.5 | |
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| vehicle | 91.5 | |
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| military | 91.3 | |
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| wear | 88.4 | |
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| child | 87.7 | |
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| furniture | 86 | |
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| war | 85.2 | |
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| outfit | 84.1 | |
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| watercraft | 83.2 | |
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| recreation | 83.2 | |
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| medical practitioner | 81.7 | |
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Imagga
created on 2019-06-05
| barbershop | 56.3 | |
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| shop | 49.3 | |
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| mercantile establishment | 34.6 | |
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| wheelchair | 28.1 | |
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| man | 26.2 | |
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| people | 24.5 | |
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| place of business | 23.1 | |
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| chair | 20.8 | |
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| male | 19.2 | |
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| musical instrument | 16.3 | |
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| family | 15.1 | |
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| person | 14.1 | |
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| men | 13.7 | |
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| adult | 12.6 | |
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| seat | 12.5 | |
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| old | 12.5 | |
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| business | 12.1 | |
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| city | 11.6 | |
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| establishment | 11.5 | |
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| kin | 11.3 | |
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| senior | 11.2 | |
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| fashion | 10.5 | |
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| medical | 9.7 | |
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| couple | 9.6 | |
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| illness | 9.5 | |
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| women | 9.5 | |
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| room | 9.2 | |
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| street | 9.2 | |
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| clothing | 9.2 | |
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| worker | 9 | |
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| human | 9 | |
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| lifestyle | 8.7 | |
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| furniture | 8.5 | |
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| portrait | 8.4 | |
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| tradition | 8.3 | |
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| child | 8.3 | |
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| care | 8.2 | |
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| mother | 8.2 | |
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| outdoors | 8.2 | |
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| new | 8.1 | |
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| religion | 8.1 | |
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| group | 8.1 | |
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| to | 8 | |
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| disabled | 7.9 | |
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| urban | 7.9 | |
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| boy | 7.8 | |
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| black | 7.8 | |
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| architecture | 7.8 | |
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| scene | 7.8 | |
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| happy | 7.5 | |
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| religious | 7.5 | |
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| traditional | 7.5 | |
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| building | 7.4 | |
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| shopping | 7.3 | |
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| window | 7.3 | |
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| girls | 7.3 | |
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| smiling | 7.2 | |
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| home | 7.2 | |
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| interior | 7.1 | |
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| modern | 7 | |
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Google
created on 2019-06-05
| Photograph | 96.2 | |
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| Snapshot | 87.4 | |
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| Black-and-white | 68.3 | |
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| Room | 65.7 | |
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| Photography | 62.4 | |
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| Family | 54.8 | |
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| Monochrome | 54.4 | |
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| Vintage clothing | 50.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 53.1% |
| Surprised | 45% |
| Sad | 54.7% |
| Calm | 45.1% |
| Happy | 45% |
| Disgusted | 45.1% |
| Confused | 45% |
| Angry | 45.1% |
AWS Rekognition
| Age | 2-5 |
| Gender | Female, 54.8% |
| Confused | 45.1% |
| Disgusted | 45.3% |
| Sad | 50.5% |
| Surprised | 45.2% |
| Calm | 47.4% |
| Angry | 46.4% |
| Happy | 45.2% |
AWS Rekognition
| Age | 14-25 |
| Gender | Female, 54.7% |
| Calm | 52% |
| Angry | 45.5% |
| Happy | 45.4% |
| Sad | 46.3% |
| Surprised | 45.4% |
| Confused | 45.2% |
| Disgusted | 45.2% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 54.9% |
| Angry | 47.9% |
| Calm | 48% |
| Disgusted | 45.9% |
| Happy | 45.7% |
| Confused | 45.3% |
| Sad | 46.3% |
| Surprised | 45.9% |
AWS Rekognition
| Age | 14-23 |
| Gender | Female, 54.7% |
| Angry | 47.6% |
| Sad | 48.3% |
| Surprised | 45.3% |
| Happy | 45.3% |
| Calm | 47.5% |
| Disgusted | 45.8% |
| Confused | 45.2% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 54.1% |
| Calm | 45.3% |
| Sad | 51.8% |
| Angry | 47.2% |
| Surprised | 45.1% |
| Disgusted | 45.3% |
| Confused | 45.1% |
| Happy | 45.2% |
AWS Rekognition
| Age | 4-9 |
| Gender | Female, 53.4% |
| Calm | 45.8% |
| Disgusted | 45.2% |
| Sad | 52.3% |
| Angry | 45.9% |
| Happy | 45.4% |
| Confused | 45.2% |
| Surprised | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54% |
| Disgusted | 45.4% |
| Calm | 45.2% |
| Confused | 45.1% |
| Happy | 45.1% |
| Sad | 45.2% |
| Angry | 53.8% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 50.3% |
| Angry | 47.1% |
| Sad | 47% |
| Calm | 48.9% |
| Surprised | 46.1% |
| Confused | 45.3% |
| Disgusted | 45.3% |
| Happy | 45.2% |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 19 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 4 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 5 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Possible |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Possible |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| people portraits | 92% | |
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| paintings art | 6.9% | |
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Captions
Microsoft
created on 2019-06-05
| a group of people posing for a photo | 93.7% | |
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| a group of people posing for the camera | 93.6% | |
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| a group of people posing for a picture | 93.5% | |
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Text analysis
Amazon
3
3
3