Machine Generated Data
Tags
Amazon
created on 2022-02-04
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-04
shop | 75.6 | |
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barbershop | 61.6 | |
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mercantile establishment | 55 | |
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place of business | 36.1 | |
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building | 22.8 | |
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salon | 20 | |
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counter | 19.6 | |
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people | 19.5 | |
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business | 18.2 | |
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interior | 17.7 | |
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city | 17.4 | |
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establishment | 17.2 | |
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glass | 17.1 | |
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architecture | 16.4 | |
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man | 15.4 | |
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modern | 15.4 | |
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urban | 14.8 | |
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restaurant | 14.6 | |
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indoor | 14.6 | |
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indoors | 14 | |
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window | 13.4 | |
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supermarket | 12.9 | |
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mall | 11.7 | |
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light | 11.4 | |
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travel | 11.3 | |
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equipment | 11.2 | |
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inside | 11 | |
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office | 11 | |
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transportation | 10.7 | |
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construction | 10.3 | |
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black | 10.2 | |
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chair | 10.2 | |
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design | 10.1 | |
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house | 10 | |
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silhouette | 9.9 | |
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technology | 9.6 | |
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buy | 9.4 | |
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industry | 9.4 | |
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room | 9.3 | |
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floor | 9.3 | |
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shopping | 9.2 | |
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center | 8.9 | |
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working | 8.8 | |
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men | 8.6 | |
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old | 8.4 | |
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transport | 8.2 | |
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structure | 8 | |
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steel | 7.9 | |
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businessman | 7.9 | |
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male | 7.8 | |
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customer | 7.6 | |
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lamp | 7.6 | |
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finance | 7.6 | |
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shoe shop | 7.4 | |
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television | 7.3 | |
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digital | 7.3 | |
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lifestyle | 7.2 | |
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computer | 7.2 | |
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stall | 7.1 | |
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adult | 7.1 | |
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worker | 7.1 | |
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information | 7.1 | |
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furniture | 7 | |
|
Google
created on 2022-02-04
Black-and-white | 85.5 | |
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Style | 83.9 | |
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Retail | 78.1 | |
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Font | 76.5 | |
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Automotive design | 75.6 | |
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Shelf | 75.1 | |
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Display case | 74.3 | |
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Art | 72.7 | |
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Monochrome photography | 71.7 | |
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Monochrome | 70.3 | |
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Eyewear | 69.2 | |
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Building | 68.3 | |
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T-shirt | 65.3 | |
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Glass | 64.9 | |
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Rectangle | 64.1 | |
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Customer | 63.8 | |
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City | 63.6 | |
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Visual arts | 61.6 | |
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Room | 60.7 | |
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Display window | 60.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-40 |
Gender | Male, 99.9% |
Calm | 96.8% |
Sad | 1.3% |
Confused | 0.8% |
Happy | 0.5% |
Disgusted | 0.2% |
Fear | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
AWS Rekognition
Age | 31-41 |
Gender | Male, 70.1% |
Calm | 99.5% |
Angry | 0.2% |
Confused | 0.1% |
Happy | 0.1% |
Sad | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
AWS Rekognition
Age | 23-33 |
Gender | Male, 70.6% |
Calm | 72.6% |
Happy | 13.9% |
Sad | 8.2% |
Angry | 2.9% |
Confused | 0.7% |
Fear | 0.6% |
Disgusted | 0.6% |
Surprised | 0.4% |
AWS Rekognition
Age | 42-50 |
Gender | Female, 80.3% |
Calm | 85.1% |
Sad | 6.9% |
Happy | 3.8% |
Confused | 3.1% |
Angry | 0.5% |
Surprised | 0.3% |
Disgusted | 0.2% |
Fear | 0.2% |
AWS Rekognition
Age | 24-34 |
Gender | Female, 61.8% |
Calm | 78.7% |
Confused | 7.2% |
Happy | 4.3% |
Surprised | 2.2% |
Sad | 2.2% |
Angry | 2.1% |
Fear | 1.7% |
Disgusted | 1.4% |
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 likely |