Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-22
Imagga
created on 2021-12-14
airfoil | 75.1 | |
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wing | 73.5 | |
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device | 60.5 | |
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aircraft | 52.1 | |
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airplane | 51.3 | |
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plane | 39.7 | |
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jet | 38 | |
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air | 36.8 | |
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sky | 33.8 | |
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transportation | 32.3 | |
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travel | 31.7 | |
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flight | 31.7 | |
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aviation | 28.4 | |
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flying | 27.5 | |
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fly | 27.1 | |
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transport | 26.5 | |
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stabilizer | 24.3 | |
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engine | 23.1 | |
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clouds | 20.3 | |
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rudder | 19.7 | |
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aerial | 19.4 | |
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airport | 19.1 | |
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propeller | 17.8 | |
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vehicle | 17.5 | |
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horizontal stabilizer | 17.1 | |
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vertical stabilizer | 16.6 | |
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high | 16.5 | |
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cloud | 16.4 | |
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airliner | 16 | |
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mechanism | 15.6 | |
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airship | 15 | |
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tourism | 14.9 | |
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speed | 14.7 | |
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above | 14.5 | |
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trip | 14.2 | |
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technology | 14.1 | |
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vacation | 13.9 | |
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horizontal tail | 13.8 | |
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craft | 13.4 | |
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airplane propeller | 13.1 | |
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land | 12.9 | |
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wings | 12.5 | |
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commercial | 12.2 | |
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business | 12.2 | |
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airline | 11.8 | |
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passenger | 11.8 | |
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power | 11.8 | |
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cargo | 11.6 | |
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boat | 11.2 | |
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ship | 10.4 | |
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earth | 10.1 | |
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horizon | 9.9 | |
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runway | 9.9 | |
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altitude | 9.8 | |
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landing | 9.8 | |
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landscape | 9.7 | |
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port | 9.6 | |
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journey | 9.4 | |
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ocean | 9.1 | |
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fuselage | 8.9 | |
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takeoff | 8.9 | |
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traveling | 8.7 | |
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day | 8.6 | |
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sea | 8.6 | |
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window | 8.2 | |
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outdoors | 8.2 | |
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turbine | 8.1 | |
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holiday | 7.9 | |
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sunny | 7.8 | |
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gear | 7.7 | |
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steering system | 7.6 | |
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metal | 7.2 | |
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radio telescope | 7.1 | |
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architecture | 7 | |
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modern | 7 | |
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Google
created on 2021-12-14
Photograph | 94.2 | |
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Boat | 92.5 | |
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Naval architecture | 92.1 | |
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Watercraft | 89.9 | |
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Vehicle | 84.3 | |
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Aviation | 81 | |
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Snapshot | 74.3 | |
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Ship | 68.5 | |
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Aircraft | 67.8 | |
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Crew | 66.4 | |
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Boats and boating--Equipment and supplies | 66.3 | |
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Stock photography | 66.1 | |
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Monochrome photography | 66 | |
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Water | 66 | |
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Water transportation | 65.6 | |
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Motor vehicle | 64.4 | |
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Monochrome | 62.4 | |
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Aerospace engineering | 60.5 | |
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Fin | 56.9 | |
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Flap | 56.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-67 |
Gender | Female, 60.6% |
Fear | 55.1% |
Sad | 16.3% |
Confused | 8.7% |
Surprised | 7.6% |
Calm | 5.7% |
Disgusted | 2.8% |
Angry | 2.4% |
Happy | 1.3% |

AWS Rekognition
Age | 31-47 |
Gender | Female, 77% |
Calm | 69.4% |
Surprised | 20.1% |
Sad | 3.8% |
Confused | 2.6% |
Fear | 1.9% |
Happy | 1.3% |
Disgusted | 0.6% |
Angry | 0.4% |

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
interior objects | 55% | |
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cars vehicles | 17.8% | |
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food drinks | 8.6% | |
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streetview architecture | 5.9% | |
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paintings art | 4.2% | |
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nature landscape | 2.9% | |
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beaches seaside | 2% | |
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events parties | 1.3% | |
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text visuals | 1.2% | |
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Captions
Microsoft
created on 2021-12-14
calendar | 69.7% | |
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Text analysis
Amazon

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