Machine Generated Data
Tags
Amazon
created on 2022-01-16
Clarifai
created on 2023-10-26
people | 99.8 | |
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monochrome | 99.5 | |
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airport | 98.2 | |
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train | 97.9 | |
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transportation system | 97.4 | |
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grinder | 97.3 | |
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indoors | 96.7 | |
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room | 96.7 | |
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man | 94.5 | |
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black and white | 94.2 | |
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group together | 94 | |
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city | 93.3 | |
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shadow | 92.5 | |
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seat | 92.2 | |
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street | 92 | |
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adult | 91.9 | |
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railway | 91.8 | |
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subway system | 91.3 | |
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furniture | 90.3 | |
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group | 90.3 | |
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Imagga
created on 2022-01-16
rudder | 63.5 | |
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steering system | 51 | |
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mechanism | 40.9 | |
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water | 40.1 | |
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device | 38.3 | |
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sea | 35.2 | |
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boat | 34 | |
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sailboat | 26.9 | |
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travel | 26.8 | |
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pier | 26.6 | |
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marina | 25.7 | |
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ocean | 24.2 | |
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vessel | 23.7 | |
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river | 23.1 | |
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trimaran | 21.2 | |
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sky | 21.1 | |
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harbor | 20.2 | |
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ship | 19.9 | |
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tourism | 19.8 | |
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vacation | 19.6 | |
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deck | 18.7 | |
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bridge | 18.3 | |
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city | 18.3 | |
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sunset | 17.1 | |
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sailing vessel | 17 | |
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summer | 16.7 | |
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dock | 16.6 | |
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yacht | 15.6 | |
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boats | 15.5 | |
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transport | 14.6 | |
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architecture | 14.5 | |
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transportation | 14.3 | |
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urban | 14 | |
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coast | 13.5 | |
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bay | 13.2 | |
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landscape | 12.6 | |
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shore | 11.2 | |
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holiday | 10.8 | |
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building | 10.7 | |
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port | 10.6 | |
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luxury | 10.3 | |
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beach | 10.1 | |
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island | 10.1 | |
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tourist | 10 | |
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structure | 9.9 | |
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night | 9.8 | |
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craft | 9.7 | |
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cloud | 9.5 | |
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trip | 9.4 | |
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light | 9.4 | |
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support | 9.1 | |
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yachts | 8.9 | |
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cruise | 8.8 | |
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sail | 8.8 | |
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nautical | 8.7 | |
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scene | 8.7 | |
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fishing | 8.7 | |
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dusk | 8.6 | |
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journey | 8.5 | |
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outdoor | 8.4 | |
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lake | 8.2 | |
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outdoors | 8.2 | |
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sun | 8.1 | |
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to | 8 | |
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ships | 7.9 | |
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black | 7.8 | |
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destination | 7.5 | |
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evening | 7.5 | |
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rich | 7.4 | |
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famous | 7.4 | |
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barrier | 7.4 | |
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street | 7.4 | |
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reflection | 7.3 | |
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steel | 7.1 | |
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modern | 7 | |
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Google
created on 2022-01-16
Rectangle | 78.4 | |
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Parallel | 77 | |
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Tints and shades | 76.6 | |
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Monochrome photography | 70.7 | |
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Monochrome | 65.5 | |
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Stock photography | 63.9 | |
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Room | 63.9 | |
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Suit | 63.4 | |
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Motor vehicle | 61.7 | |
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Photographic paper | 57.4 | |
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Art | 55.8 | |
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Metal | 55.7 | |
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Luxury vehicle | 54.4 | |
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Flash photography | 54 | |
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Vehicle | 52.5 | |
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Microsoft
created on 2022-01-16
text | 99.3 | |
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black and white | 98.2 | |
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monochrome | 93.9 | |
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street | 93.8 | |
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person | 52 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 100% |
Sad | 80.5% |
Calm | 11% |
Angry | 4.7% |
Fear | 2.6% |
Happy | 0.4% |
Disgusted | 0.3% |
Confused | 0.3% |
Surprised | 0.2% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 40.6% | |
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cars vehicles | 25.3% | |
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nature landscape | 22.1% | |
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streetview architecture | 6.6% | |
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pets animals | 2.7% | |
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people portraits | 1.4% | |
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Captions
Microsoft
created on 2022-01-16
a man riding a skateboard up the side of a ramp | 72.6% | |
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a man doing a trick on a skateboard | 52.3% | |
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a man riding a skateboard on a ramp | 52.2% | |
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