Machine Generated Data
Tags
Amazon
created on 2023-10-25
Architecture | 100 | |
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Building | 100 | |
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Dining Room | 100 | |
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Dining Table | 100 | |
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Furniture | 100 | |
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Indoors | 100 | |
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Room | 100 | |
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Table | 100 | |
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Restaurant | 100 | |
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Food | 99.2 | |
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Meal | 99.2 | |
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Adult | 98.9 | |
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Male | 98.9 | |
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Man | 98.9 | |
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Person | 98.9 | |
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Person | 98.9 | |
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Cafeteria | 97.7 | |
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Adult | 97.5 | |
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Male | 97.5 | |
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Man | 97.5 | |
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Person | 97.5 | |
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Cafe | 93.1 | |
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Face | 92.3 | |
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Head | 92.3 | |
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Dish | 90.2 | |
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Food Court | 89.1 | |
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Saucer | 88 | |
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Beverage | 83.1 | |
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Coffee | 83.1 | |
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Coffee Cup | 83.1 | |
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Cup | 80.5 | |
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Cutlery | 79.2 | |
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Coffee Cup | 75.4 | |
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Diner | 71.1 | |
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Photography | 57.7 | |
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Spoon | 57.5 | |
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Glass | 57.4 | |
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Portrait | 57.2 | |
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Pottery | 57.1 | |
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Housing | 57.1 | |
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Couch | 56.6 | |
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Tabletop | 55.9 | |
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Living Room | 55.9 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-01-31
man | 23.6 | |
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person | 19.1 | |
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people | 16.7 | |
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male | 16.4 | |
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black | 15.6 | |
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adult | 14.3 | |
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device | 13.5 | |
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dress | 12.6 | |
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portrait | 12.3 | |
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love | 11.8 | |
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world | 11.6 | |
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human | 11.2 | |
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passenger | 10.8 | |
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lifestyle | 10.1 | |
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face | 9.9 | |
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fashion | 9.8 | |
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old | 9.8 | |
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couple | 9.6 | |
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hair | 9.5 | |
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happiness | 9.4 | |
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light | 9.4 | |
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groom | 9.3 | |
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call | 9.1 | |
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hand | 9.1 | |
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vintage | 9.1 | |
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industrial | 9.1 | |
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body | 8.8 | |
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bride | 8.6 | |
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men | 8.6 | |
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art | 8.5 | |
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wedding | 8.3 | |
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alone | 8.2 | |
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dirty | 8.1 | |
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wall | 8 | |
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home | 8 | |
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interior | 8 | |
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window | 7.9 | |
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hands | 7.8 | |
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model | 7.8 | |
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attractive | 7.7 | |
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youth | 7.7 | |
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house | 7.5 | |
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dark | 7.5 | |
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emotion | 7.4 | |
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life | 7.3 | |
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travel | 7 | |
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Google
created on 2019-01-31
Photograph | 95 | |
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Snapshot | 82.5 | |
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Black-and-white | 78.1 | |
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Photography | 72.5 | |
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Room | 65.7 | |
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Stock photography | 64 | |
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Monochrome | 54.4 | |
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Microsoft
created on 2019-01-31
window | 91.6 | |
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old | 41.4 | |
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person | 41.4 | |
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black and white | 20.3 | |
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monochrome | 3.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 29-39 |
Gender | Female, 99.9% |
Sad | 92.3% |
Calm | 53.5% |
Surprised | 6.4% |
Fear | 6% |
Angry | 0.6% |
Confused | 0.6% |
Happy | 0.5% |
Disgusted | 0.3% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 97.5% |
Calm | 76.3% |
Sad | 7.2% |
Happy | 7% |
Surprised | 6.9% |
Fear | 6.2% |
Confused | 3.4% |
Disgusted | 1.7% |
Angry | 0.8% |

Microsoft Cognitive Services
Age | 40 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 100% | |
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Captions
Microsoft
created on 2019-01-31
a man standing in front of a window | 68.9% | |
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a man standing next to a window | 60.4% | |
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a man sitting in front of a window | 48.9% | |
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