Machine Generated Data
Tags
Amazon
created on 2019-10-30
Advertisement | 99.9 | |
| ||
Collage | 99.9 | |
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Poster | 99.9 | |
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Head | 99.2 | |
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Human | 98 | |
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Person | 98 | |
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Person | 96.9 | |
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Person | 96.5 | |
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Person | 95.4 | |
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Person | 93.6 | |
| ||
Person | 93.6 | |
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Person | 93.5 | |
| ||
Person | 93.2 | |
| ||
Person | 93.2 | |
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Person | 92.3 | |
| ||
Person | 92.3 | |
| ||
Person | 92.2 | |
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Person | 91.3 | |
| ||
Person | 91.3 | |
| ||
Person | 91.2 | |
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Person | 90.8 | |
| ||
Person | 90.6 | |
| ||
Text | 89.9 | |
| ||
Person | 89.5 | |
| ||
Person | 89.5 | |
| ||
Person | 89.1 | |
| ||
Person | 89 | |
| ||
Person | 88.8 | |
| ||
Person | 87.9 | |
| ||
Person | 87.5 | |
| ||
Person | 87.2 | |
| ||
Person | 86.9 | |
| ||
Person | 86.3 | |
| ||
Person | 84.6 | |
| ||
Person | 84 | |
| ||
Person | 83.8 | |
| ||
Person | 83.7 | |
| ||
Person | 83.3 | |
| ||
Person | 82 | |
| ||
Person | 81.7 | |
| ||
Person | 81.3 | |
| ||
Person | 80.5 | |
| ||
Person | 78.3 | |
| ||
Person | 77.6 | |
| ||
Person | 76.6 | |
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Paper | 73.3 | |
| ||
Brochure | 73.3 | |
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Flyer | 73.3 | |
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Label | 72.7 | |
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Person | 72 | |
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Alphabet | 70.1 | |
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Word | 69.2 | |
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Person | 68.8 | |
| ||
Person | 63.6 | |
|
Clarifai
created on 2019-10-30
Imagga
created on 2019-10-30
icon | 53.9 | |
| ||
icons | 48.5 | |
| ||
set | 48.4 | |
| ||
web | 40.7 | |
| ||
sign | 40.7 | |
| ||
button | 37.9 | |
| ||
symbol | 34.4 | |
| ||
design | 30.5 | |
| ||
collection | 28 | |
| ||
website | 26.5 | |
| ||
buttons | 25.5 | |
| ||
business | 23.7 | |
| ||
22.1 | ||
| ||
graphic | 21.9 | |
| ||
arrow | 20.8 | |
| ||
element | 20.7 | |
| ||
lock | 20.2 | |
| ||
computer | 20.1 | |
| ||
symbols | 18.2 | |
| ||
media | 18.1 | |
| ||
black | 17.6 | |
| ||
home | 17.2 | |
| ||
site | 16.9 | |
| ||
square | 16.3 | |
| ||
communication | 16 | |
| ||
information | 15.1 | |
| ||
elements | 14.9 | |
| ||
14.6 | ||
| ||
tile | 14.5 | |
| ||
art | 13.8 | |
| ||
security | 13.8 | |
| ||
money | 13.6 | |
| ||
stop | 13.5 | |
| ||
audio | 13.4 | |
| ||
house | 13.4 | |
| ||
modern | 13.3 | |
| ||
document | 13 | |
| ||
cart | 12.7 | |
| ||
music | 12.7 | |
| ||
file | 12.6 | |
| ||
sound | 12.2 | |
| ||
glossy | 12.2 | |
| ||
phone | 12 | |
| ||
letter | 11.9 | |
| ||
finance | 11.8 | |
| ||
signs | 11.7 | |
| ||
key | 11.2 | |
| ||
globe | 11.1 | |
| ||
car | 11.1 | |
| ||
shopping | 11 | |
| ||
mosaic | 11 | |
| ||
folder | 10.7 | |
| ||
series | 10.5 | |
| ||
dollar | 10.2 | |
| ||
motif | 10.1 | |
| ||
bank | 9.9 | |
| ||
search | 9.7 | |
| ||
office | 9.7 | |
| ||
chart | 9.6 | |
| ||
clock | 9.5 | |
| ||
9.4 | ||
| ||
page | 9.3 | |
| ||
service | 9.3 | |
| ||
technology | 8.9 | |
| ||
download | 8.8 | |
| ||
glass | 8.8 | |
| ||
menu | 8.8 | |
| ||
calendar | 8.7 | |
| ||
video | 8.7 | |
| ||
card | 8.6 | |
| ||
line | 8.6 | |
| ||
pencil | 8.6 | |
| ||
color | 8.4 | |
| ||
camera | 8.3 | |
| ||
message | 8.2 | |
| ||
star | 8.1 | |
| ||
market | 8 | |
| ||
icon set | 7.9 | |
| ||
trash | 7.8 | |
| ||
secure | 7.7 | |
| ||
hand | 7.7 | |
| ||
credit | 7.7 | |
| ||
diagram | 7.7 | |
| ||
clip | 7.5 | |
| ||
note | 7.4 | |
| ||
cash | 7.3 | |
| ||
data | 7.3 | |
| ||
shiny | 7.1 | |
|
Google
created on 2019-10-30
Collection | 81.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 32-48 |
Gender | Male, 99.7% |
Sad | 1% |
Calm | 25.3% |
Surprised | 5.6% |
Happy | 0.5% |
Fear | 1.6% |
Disgusted | 0.9% |
Confused | 2.9% |
Angry | 62.2% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 99.3% |
Calm | 12.8% |
Angry | 79% |
Confused | 0.8% |
Surprised | 3.9% |
Disgusted | 0.7% |
Happy | 0.5% |
Fear | 0.7% |
Sad | 1.5% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 98.9% |
Calm | 44% |
Confused | 2% |
Surprised | 1.1% |
Happy | 0.1% |
Angry | 49.2% |
Disgusted | 0.3% |
Sad | 2.9% |
Fear | 0.4% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 99.7% |
Sad | 0.6% |
Happy | 1.1% |
Disgusted | 3.3% |
Fear | 0.8% |
Confused | 3.2% |
Surprised | 3.8% |
Angry | 54% |
Calm | 33.3% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 98.3% |
Disgusted | 0.1% |
Confused | 0.5% |
Fear | 0.1% |
Happy | 0.6% |
Sad | 1.5% |
Angry | 0.3% |
Surprised | 1.4% |
Calm | 95.5% |

AWS Rekognition
Age | 35-51 |
Gender | Male, 99.4% |
Surprised | 0.6% |
Sad | 0.3% |
Happy | 3.3% |
Angry | 0.1% |
Confused | 0.2% |
Calm | 95.2% |
Disgusted | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 35-51 |
Gender | Male, 99.9% |
Sad | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0% |
Confused | 0.7% |
Surprised | 0.3% |
Angry | 1.2% |
Calm | 97.4% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 99.4% |
Disgusted | 0.6% |
Surprised | 1% |
Happy | 12.6% |
Confused | 0.4% |
Calm | 83% |
Angry | 0.7% |
Fear | 0.6% |
Sad | 1.1% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 99.3% |
Disgusted | 14% |
Happy | 0.7% |
Fear | 1% |
Surprised | 2.6% |
Angry | 42.3% |
Calm | 24.9% |
Sad | 1.7% |
Confused | 12.8% |

AWS Rekognition
Age | 36-54 |
Gender | Male, 96.8% |
Confused | 0.2% |
Fear | 0% |
Calm | 44% |
Angry | 1.6% |
Surprised | 0.1% |
Sad | 53.9% |
Happy | 0% |
Disgusted | 0.1% |

AWS Rekognition
Age | 41-59 |
Gender | Male, 97.5% |
Happy | 0.1% |
Sad | 0.3% |
Calm | 96.5% |
Disgusted | 0% |
Surprised | 0.4% |
Confused | 0.6% |
Angry | 2% |
Fear | 0% |

AWS Rekognition
Age | 49-67 |
Gender | Male, 97.7% |
Sad | 0.7% |
Happy | 1.9% |
Angry | 0.1% |
Confused | 0.7% |
Surprised | 0.2% |
Fear | 0% |
Calm | 96.3% |
Disgusted | 0.1% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 99.9% |
Happy | 0.3% |
Calm | 86% |
Sad | 0.5% |
Angry | 10.6% |
Surprised | 0.9% |
Fear | 0.2% |
Confused | 1.1% |
Disgusted | 0.4% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 98.3% |
Fear | 0% |
Angry | 0.1% |
Disgusted | 0% |
Calm | 99% |
Confused | 0% |
Surprised | 0% |
Sad | 0.7% |
Happy | 0.1% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 87.6% |
Surprised | 0.1% |
Disgusted | 0.3% |
Happy | 0.1% |
Confused | 0.6% |
Angry | 0.6% |
Sad | 40.2% |
Fear | 0.1% |
Calm | 58.1% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 99.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0% |
Angry | 0.5% |
Calm | 98.4% |
Sad | 0.5% |
Surprised | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 48-66 |
Gender | Male, 98.4% |
Happy | 0.3% |
Disgusted | 0% |
Fear | 0% |
Angry | 0.3% |
Calm | 99% |
Sad | 0.2% |
Surprised | 0% |
Confused | 0.2% |

AWS Rekognition
Age | 26-40 |
Gender | Male, 99.4% |
Confused | 3.1% |
Calm | 84.1% |
Disgusted | 0.2% |
Fear | 0.1% |
Happy | 0.1% |
Angry | 10.7% |
Sad | 1.4% |
Surprised | 0.4% |

AWS Rekognition
Age | 33-49 |
Gender | Male, 54.9% |
Calm | 50.6% |
Disgusted | 45% |
Fear | 45% |
Sad | 49.3% |
Angry | 45% |
Confused | 45% |
Surprised | 45% |
Happy | 45% |

AWS Rekognition
Age | 28-44 |
Gender | Male, 97.4% |
Surprised | 56.1% |
Happy | 0.8% |
Angry | 1.6% |
Fear | 0.7% |
Disgusted | 0.8% |
Confused | 2.4% |
Sad | 0.3% |
Calm | 37.2% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 99.7% |
Sad | 3.7% |
Happy | 0% |
Angry | 0.1% |
Confused | 0% |
Disgusted | 0% |
Calm | 96.1% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 51-69 |
Gender | Male, 99.4% |
Angry | 0% |
Surprised | 0.1% |
Fear | 0% |
Calm | 99.7% |
Happy | 0.1% |
Disgusted | 0% |
Sad | 0.1% |
Confused | 0% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 91.9% |
Happy | 0.2% |
Angry | 2.3% |
Surprised | 17.7% |
Sad | 4.3% |
Disgusted | 0.2% |
Confused | 5% |
Fear | 1.4% |
Calm | 68.9% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 99.2% |
Fear | 0% |
Happy | 0.1% |
Disgusted | 0.1% |
Calm | 98.7% |
Sad | 0.1% |
Angry | 0.3% |
Surprised | 0.4% |
Confused | 0.2% |

AWS Rekognition
Age | 37-55 |
Gender | Male, 99.4% |
Angry | 0.7% |
Fear | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Calm | 95.5% |
Confused | 0.2% |
Sad | 3.3% |
Surprised | 0.1% |

AWS Rekognition
Age | 44-62 |
Gender | Male, 99.7% |
Surprised | 0% |
Disgusted | 0% |
Angry | 0% |
Fear | 0% |
Calm | 99.7% |
Happy | 0% |
Sad | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 54.9% |
Confused | 45% |
Angry | 45% |
Fear | 45% |
Sad | 45% |
Surprised | 45% |
Disgusted | 45% |
Happy | 45% |
Calm | 54.9% |

AWS Rekognition
Age | 24-38 |
Gender | Male, 89% |
Confused | 0% |
Angry | 0% |
Fear | 0% |
Sad | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Happy | 0.1% |
Calm | 99.7% |

AWS Rekognition
Age | 36-52 |
Gender | Male, 99% |
Confused | 0% |
Fear | 0% |
Disgusted | 0% |
Sad | 1.2% |
Calm | 98.5% |
Angry | 0% |
Surprised | 0% |
Happy | 0.2% |

AWS Rekognition
Age | 35-51 |
Gender | Male, 92.1% |
Fear | 0% |
Surprised | 0% |
Angry | 0% |
Calm | 99.9% |
Happy | 0% |
Sad | 0.1% |
Confused | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 42-60 |
Gender | Male, 54.9% |
Fear | 45.1% |
Happy | 45.2% |
Surprised | 45.3% |
Disgusted | 45.9% |
Calm | 51.2% |
Sad | 45.4% |
Angry | 45.5% |
Confused | 46.4% |

AWS Rekognition
Age | 27-43 |
Gender | Male, 99.7% |
Calm | 96.8% |
Happy | 0.3% |
Confused | 0.3% |
Fear | 0.1% |
Disgusted | 0.2% |
Surprised | 0.2% |
Sad | 1.9% |
Angry | 0.3% |

AWS Rekognition
Age | 49-67 |
Gender | Male, 54.7% |
Happy | 45% |
Calm | 53.6% |
Sad | 45% |
Angry | 45.1% |
Disgusted | 45% |
Surprised | 46.2% |
Fear | 45% |
Confused | 45% |

AWS Rekognition
Age | 40-58 |
Gender | Male, 98.9% |
Angry | 1.8% |
Confused | 1.4% |
Happy | 1% |
Disgusted | 13% |
Sad | 1.1% |
Fear | 0.5% |
Surprised | 4.8% |
Calm | 76.4% |

AWS Rekognition
Age | 24-38 |
Gender | Male, 99.2% |
Sad | 0.4% |
Angry | 2.1% |
Happy | 0.3% |
Confused | 0.3% |
Disgusted | 0.5% |
Calm | 95.5% |
Surprised | 0.7% |
Fear | 0.3% |

AWS Rekognition
Age | 44-62 |
Gender | Male, 99% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |
Fear | 0% |
Surprised | 0.4% |
Sad | 0.1% |
Calm | 99.1% |

AWS Rekognition
Age | 43-61 |
Gender | Male, 97.1% |
Surprised | 1.3% |
Confused | 1.7% |
Fear | 0.7% |
Disgusted | 1.1% |
Sad | 7.6% |
Happy | 0.6% |
Calm | 81.9% |
Angry | 5.2% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 99.7% |
Calm | 99.4% |
Angry | 0.1% |
Confused | 0.1% |
Surprised | 0.3% |
Disgusted | 0% |
Happy | 0% |
Fear | 0% |
Sad | 0.2% |

AWS Rekognition
Age | 48-66 |
Gender | Male, 99.6% |
Angry | 4.4% |
Calm | 62.6% |
Fear | 0.2% |
Confused | 22% |
Disgusted | 0.4% |
Happy | 0.1% |
Sad | 10.1% |
Surprised | 0.2% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 86.8% |
Disgusted | 0% |
Angry | 0.2% |
Confused | 0.1% |
Sad | 1.2% |
Happy | 0% |
Fear | 0% |
Surprised | 0.1% |
Calm | 98.4% |

AWS Rekognition
Age | 51-69 |
Gender | Male, 54.9% |
Disgusted | 45% |
Calm | 54.3% |
Sad | 45.2% |
Surprised | 45.1% |
Angry | 45% |
Happy | 45.3% |
Confused | 45% |
Fear | 45% |

AWS Rekognition
Age | 22-34 |
Gender | Male, 54.4% |
Surprised | 45% |
Disgusted | 45% |
Sad | 45% |
Fear | 45% |
Happy | 45% |
Calm | 54.9% |
Angry | 45% |
Confused | 45% |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 57 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 53 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 68 |
Gender | Male |

Microsoft Cognitive Services
Age | 53 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 45 |
Gender | Male |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 52 |
Gender | Male |

Microsoft Cognitive Services
Age | 55 |
Gender | Male |

Microsoft Cognitive Services
Age | 53 |
Gender | Male |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Microsoft Cognitive Services
Age | 34 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 57 |
Gender | Male |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 59 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 61 |
Gender | Male |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Microsoft Cognitive Services
Age | 71 |
Gender | Male |

Microsoft Cognitive Services
Age | 39 |
Gender | Male |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
Gender | Male |

Microsoft Cognitive Services
Age | 55 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 53 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
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 |

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 |

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 | Possible |
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 |

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 |

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 | Possible |
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 | Possible |
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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon

Person | 98% | |
|

Person | 96.9% | |
|

Person | 96.5% | |
|

Person | 95.4% | |
|

Person | 93.6% | |
|

Person | 93.6% | |
|

Person | 93.5% | |
|

Person | 93.2% | |
|

Person | 93.2% | |
|

Person | 92.3% | |
|

Person | 92.3% | |
|

Person | 92.2% | |
|

Person | 91.3% | |
|

Person | 91.3% | |
|

Person | 91.2% | |
|

Person | 90.8% | |
|

Person | 90.6% | |
|

Person | 89.5% | |
|

Person | 89.5% | |
|

Person | 89.1% | |
|

Person | 89% | |
|

Person | 88.8% | |
|

Person | 87.9% | |
|

Person | 87.5% | |
|

Person | 87.2% | |
|

Person | 86.9% | |
|

Person | 86.3% | |
|

Person | 84.6% | |
|

Person | 84% | |
|

Person | 83.8% | |
|

Person | 83.7% | |
|

Person | 83.3% | |
|

Person | 82% | |
|

Person | 81.7% | |
|

Person | 81.3% | |
|

Person | 80.5% | |
|

Person | 78.3% | |
|

Person | 77.6% | |
|

Person | 76.6% | |
|

Person | 72% | |
|

Person | 68.8% | |
|

Person | 63.6% | |
|
Categories
Imagga
text visuals | 63% | |
| ||
paintings art | 22.4% | |
| ||
interior objects | 11.1% | |
| ||
pets animals | 1.6% | |
|
Captions
Microsoft
created on 2019-10-30
a group of men posing for a photo | 26.6% | |
| ||
a group of people posing for a photo | 26.5% | |
| ||
a close up of many different colors | 26.4% | |
|
OpenAI GPT
Created by gpt-4o-2024-05-13 on 2025-01-30
The image is a grid of 42 postage stamp-like images, arranged in seven rows and six columns. Each square contains the word "FLUXPOST" followed by a number, ranging from 1 to 42.
Created by gpt-4 on 2025-01-30
The image shows an array of 42 passport-style photographs, each labeled with "FLUXPOST" followed by a number ranging from 1 to 42. The photographs are in a grid layout with six rows and seven columns. Each photograph appears to show a person wearing a dark, formal suit with a white shirt and a dark tie. The background of the photographs is uniformly plain and light-colored. The images have a vintage or retro appearance, suggesting they might be from an earlier time period. The consistent clothing style and formal attire suggest a uniformity or formality appropriate to official documents or identification. The label "FLUXPOST" could imply a connection to an artistic movement or a specific project, but without additional context, its precise meaning is unclear.
Anthropic Claude
Created by claude-3-5-sonnet-20241022 on 2025-01-30
This appears to be a collection of 42 black and white portrait photographs arranged in a grid format, labeled as "FLUXPOST 1" through "FLUXPOST 42". The portraits appear to be from the early 20th century, showing men in formal attire typical of that era - suits, bow ties, and high collars. Many of the subjects have facial hair, particularly mustaches and beards, which was fashionable during that period. The photographs have a similar formal studio portrait style, with subjects shown from the shoulders up against plain backgrounds. The overall presentation suggests this might be part of an artistic or archival project, given the systematic numbering system using the "FLUXPOST" designation.
Created by claude-3-opus-20240229 on 2025-01-30
The image shows a grid of 42 black and white portraits of the same elderly man with a beard and mustache, presumably named Fluxpost. Each portrait is labeled sequentially from "FLUXPOST 1" to "FLUXPOST 42". While the subject's pose and attire remain consistent across the portraits, there are subtle variations in his facial expression and the angle of his head between each shot. The grainy, high-contrast style suggests these are vintage photographs, perhaps from the late 19th or early 20th century.
Created by claude-3-haiku-20240307 on 2025-01-30
This image appears to be a collection of black and white photographic portraits. The portraits depict various men, likely representing individuals from a specific time period or organization, as indicated by the "Fluxpost" labels. The portraits are arranged in a grid format, with each image labeled with a sequential number, suggesting they may be part of a series or collection. While the individuals shown in the images cannot be identified, the overall presentation suggests this is a historical collection of portraits that may have served some institutional or documentary purpose.
Meta Llama
Created by us.meta.llama3-2-11b-instruct-v1:0 on 2025-03-15
The image presents a grid of 42 black-and-white photographs, each featuring a man with a distinctive mustache and beard style. The men are dressed in formal attire, including suits, ties, and collared shirts. Each photograph is labeled with a unique identifier, "FLUXPOST," followed by a number ranging from 1 to 42. **Key Features:** * **Photographs:** 42 black-and-white images of men with various mustache and beard styles. * **Attire:** Formal wear, including suits, ties, and collared shirts. * **Identifiers:** Each photograph is labeled with "FLUXPOST" followed by a number from 1 to 42. * **Layout:** The photographs are arranged in a grid pattern, with six rows and seven columns. * **Background:** The background of the image is a light beige color. **Overall Impression:** The image appears to be a collection of portraits showcasing different mustache and beard styles, with each photograph carefully labeled for identification. The formal attire and grid layout suggest a deliberate and organized presentation of the images.
Created by us.meta.llama3-2-90b-instruct-v1:0 on 2025-03-15
The image presents a grid of 42 black-and-white photographs, each featuring a man's face. The men are dressed in formal attire, including suits and ties, and are arranged in six rows with seven columns. Each photograph is accompanied by a label consisting of the word "FLUXPOST" followed by a number, ranging from 1 to 42. The background of the image is a light beige color, which provides a neutral contrast to the dark tones of the photographs. The overall effect is one of a vintage or antique aesthetic, suggesting that the image may be a reproduction of an older photograph or a collection of historical portraits. The use of a grid layout and the uniformity of the photographs create a sense of order and structure, while the individuality of each man's expression and appearance adds a touch of personality to the image. The inclusion of the labels with numbers suggests that the image may be part of a larger collection or catalog, possibly used for identification or reference purposes.
Amazon Nova
Created by amazon.nova-pro-v1:0 on 2025-01-30
The image shows a collection of 42 black-and-white photographs of men, each labeled with "Fluxpost" followed by a number. The men are dressed in formal attire, including suits, ties, and collared shirts. Some of them have facial hair, such as mustaches and beards. The photographs are arranged in a grid-like pattern, with six rows and seven columns. The image has a vintage look, suggesting that it may be an old photograph or a reproduction of an old photograph.
Created by amazon.nova-lite-v1:0 on 2025-01-30
The image is a black-and-white photograph featuring a collage of 42 headshots of men. Each headshot is labeled with "FLUXPOST" followed by a number from 1 to 42. The men are dressed formally, wearing suits and ties, and have various facial hair styles, including mustaches, beards, and clean-shaven looks. The background of the image is plain and white, which helps to focus attention on the faces of the individuals. The arrangement of the photos suggests a systematic or organized collection, possibly for a specific purpose such as a catalog, a historical record, or an art project.
Text analysis
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