Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-25
Imagga
created on 2021-12-14
sketch | 52.9 | |
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anatomy | 43.5 | |
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drawing | 39.9 | |
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medical | 37.1 | |
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science | 34.7 | |
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x ray | 34.3 | |
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biology | 34.1 | |
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representation | 33 | |
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human | 33 | |
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skeleton | 32.2 | |
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body | 32 | |
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3d | 30.2 | |
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transparent | 29.6 | |
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health | 25.7 | |
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anatomical | 20.6 | |
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black | 19.2 | |
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smoke | 18.3 | |
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graphic | 18.2 | |
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skull | 17.6 | |
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spine | 17.6 | |
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x | 16.7 | |
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skeletal | 16.7 | |
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shape | 16.3 | |
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ray | 16.1 | |
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joint | 15 | |
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medicine | 15 | |
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motion | 14.6 | |
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pain | 14.3 | |
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bones | 13.7 | |
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bone | 13.7 | |
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glass | 13.4 | |
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curve | 13.1 | |
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rheumatism | 12.8 | |
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organs | 12.8 | |
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torso | 12.7 | |
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chest | 12.7 | |
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film | 12.5 | |
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osteoporosis | 11.8 | |
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hip | 11.7 | |
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disease | 11.6 | |
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light | 11.4 | |
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x-ray film | 11.3 | |
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smooth | 10.9 | |
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arthritis | 10.9 | |
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cigarette | 10.7 | |
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physical | 10.7 | |
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liquid | 10.4 | |
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wave | 10.4 | |
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art | 10.2 | |
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form | 10.2 | |
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swirl | 10.1 | |
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back | 10.1 | |
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backache | 9.9 | |
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spinal | 9.9 | |
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incense | 9.8 | |
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ribs | 9.8 | |
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cancer | 9.8 | |
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people | 9.5 | |
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male | 9.2 | |
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color | 8.9 | |
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vitals | 8.9 | |
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pattern | 8.9 | |
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painful | 8.9 | |
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man | 8.7 | |
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render | 8.7 | |
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mystery | 8.6 | |
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head | 8.4 | |
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creativity | 8.4 | |
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silk | 8.1 | |
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colon | 7.9 | |
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highlighted | 7.9 | |
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backbone | 7.9 | |
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inflammation | 7.9 | |
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circulation | 7.9 | |
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design | 7.9 | |
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system | 7.6 | |
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elegance | 7.6 | |
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flowing | 7.5 | |
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photographic paper | 7.4 | |
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leg | 7.4 | |
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Google
created on 2021-12-14
Leg | 91.7 | |
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Style | 83.8 | |
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Art | 78.9 | |
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Snapshot | 74.3 | |
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Knee | 73.2 | |
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Human leg | 72.8 | |
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Event | 71.2 | |
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Performing arts | 70.7 | |
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Monochrome photography | 70.1 | |
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Monochrome | 70 | |
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Art model | 68.8 | |
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Visual arts | 66.9 | |
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Rectangle | 66.3 | |
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Entertainment | 65.5 | |
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Thigh | 64.1 | |
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Fashion design | 63.5 | |
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Painting | 61.8 | |
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Stock photography | 61.8 | |
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Still life photography | 57.1 | |
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Room | 56.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-46 |
Gender | Female, 53.5% |
Sad | 88.8% |
Calm | 5.7% |
Happy | 4.6% |
Confused | 0.6% |
Angry | 0.2% |
Disgusted | 0% |
Fear | 0% |
Surprised | 0% |
Feature analysis
Amazon
Person | 99.2% | |
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Text analysis
Amazon
M112
M112 VT37A2 1724
VT37A2
1724