Machine Generated Data
Tags
Amazon
created on 2019-11-16
Apparel | 99.4 | |
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Clothing | 99.4 | |
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Person | 98.2 | |
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Human | 98.2 | |
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Person | 96.8 | |
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Plant | 84.9 | |
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Face | 83.2 | |
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Gown | 79.4 | |
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Evening Dress | 79.4 | |
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Fashion | 79.4 | |
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Robe | 79.4 | |
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Flower | 79.2 | |
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Blossom | 79.2 | |
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Door | 69.3 | |
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Flower Arrangement | 67.4 | |
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Flower Bouquet | 65.8 | |
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Photography | 61.5 | |
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Photo | 61.5 | |
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Portrait | 61.4 | |
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Wedding | 59.3 | |
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Sleeve | 58.9 | |
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Wedding Gown | 57.6 | |
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Undershirt | 56.3 | |
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Clarifai
created on 2019-11-16
Imagga
created on 2019-11-16
mask | 67.1 | |
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man | 32.9 | |
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male | 31.4 | |
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covering | 31 | |
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person | 27.2 | |
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adult | 25.4 | |
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disguise | 23.9 | |
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black | 22.5 | |
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people | 22.3 | |
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face | 21.3 | |
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danger | 20 | |
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protective covering | 18.9 | |
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portrait | 18.8 | |
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clothing | 17.9 | |
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world | 16.7 | |
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looking | 16 | |
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love | 15 | |
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dress | 13.6 | |
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couple | 13.1 | |
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men | 12.9 | |
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protection | 12.7 | |
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holding | 12.4 | |
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dark | 11.7 | |
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happy | 11.3 | |
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happiness | 11 | |
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robber | 10.9 | |
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theft | 10.8 | |
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illegal | 10.8 | |
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thief | 10.8 | |
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criminal | 10.8 | |
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crime | 10.7 | |
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bad | 10.7 | |
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horror | 10.7 | |
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chemical | 10.6 | |
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fashion | 10.6 | |
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human | 10.5 | |
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boy | 10.4 | |
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alone | 10 | |
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bandit | 9.9 | |
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burglar | 9.9 | |
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hand | 9.9 | |
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evil | 9.8 | |
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scary | 9.7 | |
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husband | 9.5 | |
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dangerous | 9.5 | |
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hair | 9.5 | |
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attire | 9.4 | |
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expression | 9.4 | |
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security | 9.2 | |
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business | 9.1 | |
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attractive | 9.1 | |
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costume | 8.9 | |
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steal | 8.9 | |
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businessman | 8.8 | |
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professional | 8.8 | |
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toxic | 8.8 | |
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coat | 8.8 | |
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fear | 8.7 | |
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gas | 8.7 | |
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eyes | 8.6 | |
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garment | 8.5 | |
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suit | 8.2 | |
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fantasy | 8.1 | |
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lady | 8.1 | |
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handsome | 8 | |
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information | 8 | |
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sneak | 7.9 | |
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look | 7.9 | |
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radioactive | 7.9 | |
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carnival | 7.8 | |
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nuclear | 7.8 | |
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lab coat | 7.7 | |
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profession | 7.7 | |
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casual | 7.6 | |
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studio | 7.6 | |
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child | 7.6 | |
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one | 7.5 | |
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safety | 7.4 | |
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cheerful | 7.3 | |
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guy | 7.3 | |
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religion | 7.2 | |
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women | 7.1 | |
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indoors | 7 | |
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Google
created on 2019-11-16
Photograph | 97.4 | |
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Snapshot | 86.6 | |
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Photography | 70.6 | |
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Stock photography | 67.6 | |
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Picture frame | 66.4 | |
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Vintage clothing | 66 | |
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Room | 65.7 | |
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Gentleman | 65.1 | |
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Portrait | 59.3 | |
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Family | 51.8 | |
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Glasses | 51.6 | |
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Microsoft
created on 2019-11-16
text | 99.2 | |
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human face | 98 | |
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wedding dress | 96.9 | |
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bride | 94.1 | |
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smile | 93.9 | |
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woman | 92.9 | |
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window | 92.1 | |
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indoor | 92 | |
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clothing | 91.2 | |
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person | 91 | |
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dress | 83.9 | |
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electronics | 83.5 | |
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display | 42.4 | |
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picture frame | 11.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-37 |
Gender | Male, 64.9% |
Angry | 7.1% |
Fear | 0.3% |
Confused | 0.5% |
Surprised | 1.2% |
Calm | 87.2% |
Disgusted | 1% |
Sad | 1.5% |
Happy | 1.1% |
AWS Rekognition
Age | 22-34 |
Gender | Male, 98.4% |
Angry | 5.1% |
Happy | 37.7% |
Disgusted | 1.3% |
Calm | 43.6% |
Fear | 2% |
Surprised | 2.7% |
Sad | 5.5% |
Confused | 2.2% |
Feature analysis
Amazon
Person | 98.2% | |
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Text analysis
Amazon
AGFA
AGFA SAFETYFILM
SAFETYFILM
AGFA SAFETY FILM
AGFA
SAFETY
FILM