Machine Generated Data
Tags
Amazon
created on 2022-02-25
Person | 99.3 | |
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Human | 99.3 | |
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Person | 99.2 | |
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Home Decor | 96.7 | |
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Furniture | 94.7 | |
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Text | 73.2 | |
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Couch | 72.9 | |
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Room | 72.9 | |
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Indoors | 72.9 | |
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Table | 69.2 | |
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Bed | 67.4 | |
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Cushion | 63.8 | |
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Bedroom | 61.2 | |
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Collage | 59 | |
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Advertisement | 59 | |
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Screen | 58.1 | |
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Electronics | 58.1 | |
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Poster | 57.1 | |
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Dining Table | 56.6 | |
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Clarifai
created on 2023-10-28
negative | 99.9 | |
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filmstrip | 99.7 | |
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movie | 99.6 | |
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cinematography | 99.5 | |
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exposed | 99.3 | |
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slide | 99.1 | |
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bobbin | 97.8 | |
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photograph | 97.6 | |
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retro | 96.9 | |
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old | 96.6 | |
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picture frame | 96.2 | |
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vintage | 95.6 | |
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people | 95.3 | |
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monochrome | 95 | |
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wear | 94.5 | |
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dirty | 94.2 | |
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collage | 93.8 | |
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margin | 93.1 | |
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noisy | 92.2 | |
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no person | 91.4 | |
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Imagga
created on 2022-02-25
hole | 36 | |
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negative | 32.9 | |
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film | 29.9 | |
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laundry | 20 | |
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old | 17.4 | |
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photographic paper | 15.7 | |
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architecture | 13.6 | |
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iron | 13.4 | |
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travel | 13.4 | |
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city | 12.5 | |
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black | 12 | |
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design | 11.8 | |
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tourism | 11.5 | |
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retro | 11.5 | |
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holiday | 10.7 | |
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photographic equipment | 10.5 | |
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appliance | 10.4 | |
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building | 10.4 | |
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home appliance | 10.2 | |
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sky | 10.2 | |
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light | 10 | |
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house | 9.2 | |
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vintage | 9.1 | |
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texture | 9 | |
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device | 9 | |
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technology | 8.9 | |
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urban | 8.7 | |
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construction | 8.5 | |
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stone | 8.5 | |
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industry | 8.5 | |
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grunge | 8.5 | |
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modern | 8.4 | |
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vacation | 8.2 | |
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room | 8.1 | |
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water | 8 | |
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home | 8 | |
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art | 7.9 | |
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movie | 7.7 | |
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dark | 7.5 | |
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landscape | 7.4 | |
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table | 7.3 | |
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business | 7.3 | |
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industrial | 7.3 | |
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border | 7.2 | |
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decoration | 7.2 | |
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scenery | 7.2 | |
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Google
created on 2022-02-25
Photograph | 94.3 | |
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White | 92.2 | |
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Organ | 90.8 | |
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Product | 90.7 | |
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Black | 89.5 | |
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Style | 83.8 | |
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Line | 82.4 | |
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Black-and-white | 82 | |
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Font | 80.3 | |
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Photographic film | 80 | |
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Adaptation | 79.2 | |
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Tints and shades | 77.2 | |
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Snapshot | 74.3 | |
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Rectangle | 72.9 | |
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Monochrome photography | 69.7 | |
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Room | 68.3 | |
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Monochrome | 68.1 | |
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Pattern | 67.6 | |
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Negative | 65.5 | |
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Art | 65.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 53-61 |
Gender | Male, 99.1% |
Calm | 53% |
Happy | 33% |
Sad | 11.1% |
Confused | 1.1% |
Disgusted | 0.6% |
Fear | 0.5% |
Angry | 0.4% |
Surprised | 0.2% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 68.9% |
Calm | 92.8% |
Sad | 3.8% |
Happy | 1.9% |
Confused | 0.8% |
Surprised | 0.3% |
Angry | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |

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 | 84.5% | |
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paintings art | 15.5% | |
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Captions
Microsoft
created on 2022-02-25
a man sitting at a train station | 42.5% | |
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a group of people sitting at a train station | 37.6% | |
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a man sitting on a train | 30.1% | |
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Text analysis
Amazon

MIC

PANATOMIC

MIC
PANATOMIC

MIC

PANATOMIC