Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
room | 69.7 | |
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classroom | 61.2 | |
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chair | 39.1 | |
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interior | 38.9 | |
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table | 38.6 | |
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restaurant | 33.5 | |
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hall | 24.8 | |
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house | 23.4 | |
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home | 23.1 | |
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indoor | 20.1 | |
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dining | 20 | |
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indoors | 19.3 | |
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people | 18.4 | |
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cafeteria | 18.2 | |
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chairs | 17.6 | |
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furniture | 17.1 | |
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floor | 15.8 | |
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building | 15.7 | |
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inside | 15.6 | |
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teacher | 15.5 | |
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person | 15 | |
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design | 14.6 | |
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seat | 14.5 | |
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decoration | 14.5 | |
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dinner | 14.4 | |
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comfortable | 13.4 | |
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wood | 13.3 | |
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food | 13.3 | |
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modern | 13.3 | |
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style | 12.6 | |
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architecture | 12.5 | |
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blackboard | 12.4 | |
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decor | 12.4 | |
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glass | 11.7 | |
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man | 11.4 | |
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student | 11.3 | |
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window | 11.2 | |
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drink | 10.9 | |
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scene | 10.4 | |
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educator | 10.4 | |
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sitting | 10.3 | |
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empty | 10.3 | |
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women | 10.3 | |
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lifestyle | 10.1 | |
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eat | 10.1 | |
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life | 9.9 | |
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tables | 9.8 | |
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old | 9.8 | |
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lunch | 9.5 | |
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luxury | 9.4 | |
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wall | 9.4 | |
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coffee | 9.3 | |
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structure | 9.2 | |
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professional | 9.2 | |
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counter | 9.1 | |
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stool | 8.9 | |
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drinking | 8.6 | |
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space | 8.5 | |
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office | 8.5 | |
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living | 8.5 | |
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contemporary | 8.5 | |
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bar | 8.3 | |
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plant | 8.2 | |
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kitchen | 8.1 | |
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adult | 7.9 | |
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business | 7.9 | |
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urban | 7.9 | |
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residential | 7.7 | |
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hotel | 7.6 | |
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elegance | 7.6 | |
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relaxation | 7.5 | |
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city | 7.5 | |
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place | 7.4 | |
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wine | 7.4 | |
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light | 7.4 | |
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group | 7.3 | |
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computer | 7.2 | |
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stylish | 7.2 | |
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Google
created on 2022-01-23
Furniture | 93.2 | |
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Black | 89.7 | |
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Chair | 89.6 | |
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Table | 89.4 | |
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Black-and-white | 84 | |
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Style | 83.9 | |
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Adaptation | 79.2 | |
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Monochrome | 77.8 | |
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Monochrome photography | 76.9 | |
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Curtain | 75.6 | |
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Snapshot | 74.3 | |
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Building | 74 | |
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Event | 73 | |
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Suit | 72.7 | |
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Vintage clothing | 70.5 | |
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Room | 68.6 | |
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History | 67.2 | |
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Art | 63.7 | |
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Stock photography | 61.8 | |
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Classic | 61.1 | |
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Color Analysis
Face analysis
Amazon
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AWS Rekognition
Age | 30-40 |
Gender | Male, 99.8% |
Calm | 90.6% |
Confused | 4.1% |
Sad | 3.3% |
Happy | 1.1% |
Angry | 0.3% |
Disgusted | 0.3% |
Fear | 0.2% |
Surprised | 0.1% |
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AWS Rekognition
Age | 27-37 |
Gender | Male, 99.7% |
Calm | 98.4% |
Surprised | 0.5% |
Sad | 0.4% |
Disgusted | 0.2% |
Happy | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Fear | 0.1% |
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AWS Rekognition
Age | 34-42 |
Gender | Male, 97.4% |
Calm | 82.3% |
Happy | 8% |
Surprised | 4.1% |
Sad | 2.4% |
Confused | 1.1% |
Angry | 1% |
Disgusted | 0.7% |
Fear | 0.5% |
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AWS Rekognition
Age | 27-37 |
Gender | Male, 100% |
Calm | 99% |
Happy | 0.6% |
Surprised | 0.2% |
Sad | 0.1% |
Confused | 0% |
Fear | 0% |
Disgusted | 0% |
Angry | 0% |
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AWS Rekognition
Age | 18-26 |
Gender | Female, 99.5% |
Calm | 99.6% |
Happy | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Disgusted | 0% |
Confused | 0% |
Angry | 0% |
Fear | 0% |
Feature analysis
Categories
Imagga
streetview architecture | 87% | |
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interior objects | 7.5% | |
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paintings art | 1.6% | |
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Captions
Microsoft
created on 2022-01-23
a vintage photo of a group of people in a room | 94% | |
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a vintage photo of a group of people sitting at a table | 83.1% | |
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a vintage photo of a group of people sitting around a table | 82.6% | |
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Text analysis
Amazon
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MJI7
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MJI7 YESTAD
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YESTAD
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MJ17 YT37A2 A73A
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MJ17
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YT37A2
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A73A