Machine Generated Data
Tags
Amazon
created on 2019-06-05
| Human | 99.6 | |
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| Person | 99.6 | |
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| Person | 99.3 | |
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| Person | 99.1 | |
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| Person | 98.6 | |
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| Person | 97.1 | |
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| Person | 96.7 | |
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| Person | 95.2 | |
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| Person | 90.5 | |
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| Furniture | 88.6 | |
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| Table | 87.6 | |
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| Person | 87.4 | |
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| Tablecloth | 86.6 | |
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| Person | 70.5 | |
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| Dining Table | 67.2 | |
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| Person | 66.9 | |
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| Clothing | 66 | |
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| Apparel | 66 | |
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| Accessory | 64.7 | |
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| Tie | 64.7 | |
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| Accessories | 64.7 | |
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| Crowd | 64.7 | |
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| Tabletop | 56.3 | |
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| Sports | 55.7 | |
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| Ping Pong | 55.7 | |
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| Sport | 55.7 | |
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| Person | 54 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
| marimba | 80.3 | |
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| percussion instrument | 72.7 | |
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| musical instrument | 62.6 | |
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| old | 21.6 | |
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| man | 20.2 | |
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| city | 19.1 | |
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| people | 18.4 | |
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| architecture | 18 | |
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| building | 17.5 | |
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| statue | 17.3 | |
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| person | 16.8 | |
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| sculpture | 16.4 | |
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| sitting | 14.6 | |
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| history | 14.3 | |
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| male | 13.5 | |
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| religion | 13.4 | |
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| historic | 12.8 | |
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| men | 12 | |
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| couple | 11.3 | |
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| monument | 11.2 | |
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| culture | 11.1 | |
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| stone | 11 | |
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| house | 10.9 | |
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| device | 9.6 | |
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| black | 9.6 | |
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| ancient | 9.5 | |
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| two | 9.3 | |
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| church | 9.2 | |
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| street | 9.2 | |
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| art | 9.2 | |
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| tourism | 9.1 | |
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| portrait | 9.1 | |
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| adult | 8.9 | |
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| urban | 8.7 | |
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| love | 8.7 | |
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| scene | 8.7 | |
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| sky | 8.3 | |
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| vintage | 8.3 | |
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| outdoors | 8.2 | |
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| landmark | 8.1 | |
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| life | 8 | |
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| stringed instrument | 8 | |
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| day | 7.8 | |
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| happiness | 7.8 | |
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| travel | 7.7 | |
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| room | 7.6 | |
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| relaxation | 7.5 | |
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| historical | 7.5 | |
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| religious | 7.5 | |
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| silhouette | 7.4 | |
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| protection | 7.3 | |
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| group | 7.3 | |
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| color | 7.2 | |
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| lifestyle | 7.2 | |
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Google
created on 2019-06-05
| Photograph | 95 | |
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| Snapshot | 82.9 | |
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| Table | 75.7 | |
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| Vintage clothing | 60.9 | |
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| History | 57.6 | |
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| Furniture | 53.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 94.2% |
| Happy | 2.8% |
| Surprised | 1.7% |
| Calm | 19.2% |
| Confused | 2.4% |
| Disgusted | 1.8% |
| Angry | 2.6% |
| Sad | 69.4% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.7% |
| Disgusted | 45.4% |
| Sad | 52.3% |
| Surprised | 45.1% |
| Calm | 45.2% |
| Angry | 46.3% |
| Happy | 45.5% |
| Confused | 45.2% |
AWS Rekognition
| Age | 10-15 |
| Gender | Male, 54.2% |
| Angry | 45.7% |
| Disgusted | 47.1% |
| Confused | 45.2% |
| Calm | 50.5% |
| Happy | 45.1% |
| Surprised | 45.2% |
| Sad | 46.3% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.8% |
| Confused | 45.6% |
| Calm | 46.1% |
| Disgusted | 46.1% |
| Happy | 47.1% |
| Angry | 45.8% |
| Sad | 48.9% |
| Surprised | 45.4% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 54.4% |
| Confused | 45% |
| Sad | 45.1% |
| Angry | 45.1% |
| Disgusted | 45.1% |
| Calm | 54.7% |
| Surprised | 45% |
| Happy | 45% |
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 53.4% |
| Happy | 48.5% |
| Angry | 45.4% |
| Disgusted | 45.4% |
| Confused | 45.2% |
| Sad | 47.9% |
| Calm | 47.3% |
| Surprised | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.6% |
| Calm | 47.7% |
| Disgusted | 47.1% |
| Angry | 46% |
| Sad | 47.3% |
| Happy | 45.7% |
| Confused | 45.6% |
| Surprised | 45.5% |
AWS Rekognition
| Age | 10-15 |
| Gender | Male, 53.8% |
| Surprised | 45.4% |
| Happy | 45.2% |
| Sad | 46% |
| Calm | 52% |
| Confused | 45.2% |
| Disgusted | 45.4% |
| Angry | 45.9% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 52.4% |
| Happy | 45.1% |
| Surprised | 45.1% |
| Angry | 45.1% |
| Sad | 46.6% |
| Confused | 45.1% |
| Calm | 52.8% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 52.7% |
| Sad | 48% |
| Angry | 45.5% |
| Happy | 47% |
| Confused | 45.4% |
| Surprised | 45.8% |
| Disgusted | 46.1% |
| Calm | 47.1% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 54.5% |
| Disgusted | 45.2% |
| Sad | 50.6% |
| Surprised | 45.3% |
| Calm | 45.6% |
| Angry | 46.6% |
| Happy | 46.4% |
| Confused | 45.3% |
Microsoft Cognitive Services
| Age | 6 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 20 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 32 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 26 |
| 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 | 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
| people portraits | 65.5% | |
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| events parties | 25% | |
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| interior objects | 5% | |
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| paintings art | 2.1% | |
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| food drinks | 1.3% | |
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Captions
Microsoft
created on 2019-06-05
| a group of people standing around a table | 97.2% | |
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| a group of people standing in front of a table | 96.3% | |
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| a group of people sitting at a table in front of a building | 95.2% | |
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