Machine Generated Data
Tags
Amazon
created on 2022-01-09
| Person | 99.6 | |
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| Human | 99.6 | |
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| Person | 99.6 | |
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| Person | 99.5 | |
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| Tablecloth | 98.3 | |
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| Restaurant | 98 | |
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| Sitting | 91.1 | |
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| Food Court | 87.6 | |
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| Food | 87.6 | |
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| Meal | 75.6 | |
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| Dish | 75.3 | |
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| Dining Table | 73.5 | |
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| Furniture | 73.5 | |
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| Table | 73.5 | |
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| Senior Citizen | 55.3 | |
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| Eating | 55.2 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
Google
created on 2022-01-09
| Tableware | 95.7 | |
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| Table | 92.7 | |
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| Drinkware | 90.1 | |
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| Black-and-white | 86.2 | |
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| Style | 84 | |
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| Interaction | 84 | |
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| Plate | 83.4 | |
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| Dishware | 81.2 | |
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| Serveware | 80.3 | |
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| Adaptation | 79.3 | |
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| Food | 76 | |
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| Monochrome photography | 75.3 | |
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| Monochrome | 74.6 | |
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| Event | 73.8 | |
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| Sharing | 73.7 | |
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| Sitting | 72.1 | |
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| Cup | 70.7 | |
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| Conversation | 70.6 | |
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| Cooking | 69.1 | |
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| Stock photography | 65.3 | |
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Microsoft
created on 2022-01-09
| person | 98.9 | |
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| indoor | 92.5 | |
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| human face | 85.2 | |
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| clothing | 83.3 | |
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| table | 82.1 | |
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| food | 79.4 | |
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| man | 78.1 | |
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| black and white | 76.1 | |
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| text | 65.9 | |
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| tableware | 51.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 22-30 |
| Gender | Female, 100% |
| Calm | 40.1% |
| Angry | 15.7% |
| Surprised | 10.3% |
| Disgusted | 10% |
| Sad | 8.7% |
| Fear | 7.4% |
| Happy | 5.8% |
| Confused | 2.1% |
AWS Rekognition
| Age | 53-61 |
| Gender | Female, 99.9% |
| Calm | 39.9% |
| Sad | 30.4% |
| Happy | 25.6% |
| Angry | 1.3% |
| Confused | 1% |
| Disgusted | 1% |
| Surprised | 0.4% |
| Fear | 0.4% |
AWS Rekognition
| Age | 48-56 |
| Gender | Male, 95.9% |
| Calm | 85.4% |
| Sad | 8.1% |
| Fear | 1.6% |
| Happy | 1.5% |
| Surprised | 1.2% |
| Confused | 0.9% |
| Disgusted | 0.6% |
| Angry | 0.6% |
Microsoft Cognitive Services
| Age | 23 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 67 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| 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 | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| interior objects | 90.5% | |
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| food drinks | 6.4% | |
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| people portraits | 2% | |
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Captions
Microsoft
created on 2022-01-09
| a group of people sitting at a table | 91.5% | |
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| a group of people sitting at a table in front of a mirror | 86.9% | |
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| a group of people sitting around a table | 86.8% | |
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Text analysis
Amazon
COOKIES
ER COOKIES
ER
