Machine Generated Data
Tags
Amazon
created on 2022-03-25
Person | 99.7 | |
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Human | 99.7 | |
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Chair | 99.6 | |
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Furniture | 99.6 | |
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Person | 99 | |
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Person | 96.8 | |
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Person | 96.4 | |
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Wheel | 95.3 | |
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Machine | 95.3 | |
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Person | 94.6 | |
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Wheel | 94.5 | |
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Person | 93.4 | |
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Person | 91.9 | |
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Bicycle | 90.5 | |
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Bike | 90.5 | |
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Vehicle | 90.5 | |
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Transportation | 90.5 | |
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Bicycle | 74.3 | |
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Bicycle | 67.9 | |
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Wheel | 63.7 | |
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Wheel | 60.8 | |
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Monitor | 59 | |
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Electronics | 59 | |
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Screen | 59 | |
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Display | 59 | |
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Wheelchair | 57 | |
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Clarifai
created on 2023-10-29
people | 99.8 | |
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wheelchair | 98 | |
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monochrome | 97.9 | |
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group together | 97.8 | |
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man | 97.4 | |
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adult | 96.9 | |
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transportation system | 94.9 | |
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sit | 94.7 | |
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group | 93 | |
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vehicle | 92.6 | |
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woman | 91.9 | |
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chair | 91.5 | |
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sitting | 90.9 | |
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room | 88.4 | |
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indoors | 87.1 | |
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child | 86.5 | |
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street | 86.3 | |
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injury | 82.4 | |
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administration | 81.8 | |
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hospital | 80.9 | |
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Imagga
created on 2022-03-25
sliding door | 88.8 | |
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door | 78.7 | |
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movable barrier | 53.8 | |
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barrier | 36.7 | |
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interior | 30.9 | |
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window | 28.4 | |
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home | 24.7 | |
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room | 24.1 | |
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modern | 23.1 | |
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sketch | 22.1 | |
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house | 21.7 | |
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architecture | 19.5 | |
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chair | 18.4 | |
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drawing | 18.3 | |
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obstruction | 18 | |
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design | 17.4 | |
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light | 16.7 | |
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building | 16.1 | |
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floor | 15.8 | |
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indoor | 15.5 | |
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3d | 14.7 | |
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wood | 14.2 | |
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indoors | 14 | |
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table | 14 | |
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wall | 13.7 | |
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inside | 12.9 | |
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glass | 12.4 | |
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decor | 12.4 | |
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living | 12.3 | |
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furniture | 11.8 | |
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representation | 11.7 | |
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city | 11.6 | |
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residential | 11.5 | |
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urban | 11.3 | |
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street | 11 | |
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business | 10.9 | |
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apartment | 10.5 | |
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decoration | 10.3 | |
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luxury | 10.3 | |
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shop | 9.9 | |
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transportation | 9.9 | |
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old | 9.7 | |
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lamp | 9.5 | |
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transport | 9.1 | |
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living room | 8.8 | |
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empty | 8.6 | |
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construction | 8.5 | |
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estate | 8.5 | |
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people | 8.4 | |
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structure | 8.4 | |
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style | 8.2 | |
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lifestyle | 7.9 | |
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residence | 7.8 | |
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nobody | 7.8 | |
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industry | 7.7 | |
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stone | 7.7 | |
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sofa | 7.6 | |
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seat | 7.6 | |
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row | 7.4 | |
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bedroom | 7.2 | |
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color | 7.2 | |
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vehicle | 7.2 | |
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working | 7.1 | |
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Google
created on 2022-03-25
Wheelchair | 88.3 | |
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Medical equipment | 87.2 | |
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Building | 86.6 | |
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Chair | 85.9 | |
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Style | 83.8 | |
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Window | 83.7 | |
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Wheel | 76.5 | |
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Monochrome | 72.2 | |
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Event | 70.9 | |
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Sitting | 70.2 | |
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Monochrome photography | 70 | |
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Service | 68.9 | |
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Room | 67.6 | |
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Stock photography | 62.2 | |
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Color Analysis
Face analysis
Amazon
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AWS Rekognition
Age | 2-10 |
Gender | Male, 98.8% |
Calm | 89.5% |
Sad | 6.6% |
Disgusted | 1.3% |
Confused | 1.1% |
Fear | 0.4% |
Happy | 0.4% |
Angry | 0.4% |
Surprised | 0.3% |
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AWS Rekognition
Age | 52-60 |
Gender | Male, 99.7% |
Calm | 57.3% |
Sad | 37.7% |
Fear | 3.3% |
Confused | 0.6% |
Disgusted | 0.5% |
Angry | 0.2% |
Happy | 0.2% |
Surprised | 0.2% |
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AWS Rekognition
Age | 22-30 |
Gender | Female, 61.1% |
Calm | 73.2% |
Sad | 9.7% |
Happy | 8.7% |
Angry | 2.9% |
Disgusted | 2.2% |
Confused | 1.7% |
Fear | 1% |
Surprised | 0.7% |
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AWS Rekognition
Age | 20-28 |
Gender | Male, 57.5% |
Calm | 90.7% |
Confused | 2.4% |
Sad | 2.2% |
Surprised | 1.7% |
Angry | 1.2% |
Disgusted | 0.9% |
Happy | 0.8% |
Fear | 0.2% |
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AWS Rekognition
Age | 23-33 |
Gender | Male, 50.6% |
Confused | 71% |
Angry | 12.9% |
Sad | 6.8% |
Calm | 3% |
Disgusted | 2.2% |
Happy | 1.8% |
Surprised | 1.4% |
Fear | 0.8% |
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AWS Rekognition
Age | 21-29 |
Gender | Female, 93.4% |
Calm | 91.8% |
Happy | 2.9% |
Sad | 1.9% |
Confused | 1.3% |
Angry | 1% |
Surprised | 0.4% |
Fear | 0.4% |
Disgusted | 0.3% |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
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Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 98.2% | |
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Captions
Microsoft
created on 2022-03-25
a vintage photo of some people in a room | 92.6% | |
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a vintage photo of a group of people in a room | 89.9% | |
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a vintage photo of some people that are standing in a room | 83.3% | |
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Text analysis
Amazon
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KODAK
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SAFETY
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SAFETY FILM
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FILM
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8
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S
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KODAK
S'AFETY
FILM
KODAK
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KODAK
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S'AFETY
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FILM