Machine Generated Data
Tags
Amazon
created on 2022-01-30
Clarifai
created on 2023-10-28
Imagga
created on 2022-01-30
sculpture | 74.3 | |
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carving | 73.9 | |
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art | 46.7 | |
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plastic art | 40.7 | |
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ancient | 27.7 | |
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old | 27.2 | |
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history | 25.1 | |
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brass | 24.8 | |
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memorial | 22.2 | |
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statue | 20.7 | |
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vintage | 20.7 | |
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figure | 20.5 | |
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stone | 18.8 | |
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money | 18.7 | |
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temple | 18 | |
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structure | 17.7 | |
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antique | 17.5 | |
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cash | 17.4 | |
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paper | 17.3 | |
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architecture | 17.2 | |
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culture | 17.1 | |
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currency | 17.1 | |
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religion | 17 | |
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finance | 14.4 | |
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close | 13.7 | |
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stamp | 13.5 | |
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bank | 13.4 | |
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bill | 13.3 | |
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decoration | 13.3 | |
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retro | 13.1 | |
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banking | 12.9 | |
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monument | 12.1 | |
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travel | 12 | |
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grunge | 11.9 | |
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god | 11.5 | |
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dollar | 11.1 | |
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business | 10.9 | |
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wealth | 10.8 | |
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financial | 10.7 | |
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heritage | 10.6 | |
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10.5 | ||
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post | 10.5 | |
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texture | 10.4 | |
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savings | 10.3 | |
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design | 10.1 | |
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letter | 10.1 | |
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binding | 10.1 | |
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postmark | 9.9 | |
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museum | 9.8 | |
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postage | 9.8 | |
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postal | 9.8 | |
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banknote | 9.7 | |
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us | 9.6 | |
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religious | 9.4 | |
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church | 9.3 | |
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historic | 9.2 | |
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mosaic | 9 | |
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one | 9 | |
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printed | 8.9 | |
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banknotes | 8.8 | |
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wall | 8.7 | |
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pattern | 8.2 | |
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detail | 8 | |
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carved | 7.8 | |
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black | 7.8 | |
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dollars | 7.7 | |
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pay | 7.7 | |
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bust | 7.6 | |
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rich | 7.4 | |
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economy | 7.4 | |
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note | 7.4 | |
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global | 7.3 | |
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aged | 7.2 | |
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landmark | 7.2 | |
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building | 7.1 | |
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tray | 7.1 | |
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china | 7 | |
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Google
created on 2022-01-30
Human body | 88.4 | |
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Painting | 83.1 | |
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Art | 83.1 | |
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Illustration | 73.1 | |
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Drawing | 70.6 | |
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Visual arts | 68.7 | |
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Mythology | 66 | |
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Fictional character | 65.8 | |
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History | 63.7 | |
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Stock photography | 63.2 | |
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Working animal | 61.3 | |
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Flesh | 61 | |
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Artwork | 60.8 | |
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Chest | 60.1 | |
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Printmaking | 54 | |
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Modern art | 53.6 | |
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Lion | 52.9 | |
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Room | 52.7 | |
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Big cats | 51 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 21-29 |
Gender | Female, 99.1% |
Calm | 97.1% |
Happy | 0.9% |
Surprised | 0.5% |
Sad | 0.4% |
Angry | 0.4% |
Disgusted | 0.3% |
Fear | 0.3% |
Confused | 0.1% |
AWS Rekognition
Age | 28-38 |
Gender | Male, 99.9% |
Calm | 98.6% |
Disgusted | 0.4% |
Sad | 0.3% |
Confused | 0.2% |
Angry | 0.1% |
Happy | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
AWS Rekognition
Age | 57-65 |
Gender | Female, 69.6% |
Calm | 97.6% |
Angry | 1.1% |
Fear | 0.6% |
Surprised | 0.3% |
Sad | 0.2% |
Disgusted | 0.1% |
Confused | 0.1% |
Happy | 0.1% |
AWS Rekognition
Age | 42-50 |
Gender | Male, 99.3% |
Calm | 87.6% |
Sad | 10.8% |
Disgusted | 0.5% |
Angry | 0.4% |
Confused | 0.4% |
Surprised | 0.1% |
Fear | 0.1% |
Happy | 0.1% |
AWS Rekognition
Age | 35-43 |
Gender | Male, 99.8% |
Calm | 99.9% |
Angry | 0.1% |
Disgusted | 0% |
Surprised | 0% |
Happy | 0% |
Fear | 0% |
Confused | 0% |
Sad | 0% |