Machine Generated Data
Tags
Amazon
created on 2022-03-19
Clarifai
created on 2025-01-10
Imagga
created on 2022-03-19
horse | 61.7 | |
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farm | 59.9 | |
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livestock | 48.4 | |
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cattle | 44.4 | |
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cow | 44.2 | |
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pen | 41.2 | |
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rural | 38 | |
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ranch | 37.6 | |
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pasture | 32.6 | |
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enclosure | 32.2 | |
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bull | 31.8 | |
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field | 31 | |
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grass | 30.9 | |
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animals | 29.7 | |
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fence | 28.3 | |
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brown | 28 | |
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horses | 26.3 | |
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equine | 25 | |
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grazing | 24.6 | |
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animal | 24.5 | |
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agriculture | 22.9 | |
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mane | 21.6 | |
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mammal | 21.3 | |
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bovine | 20.7 | |
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meadow | 19.8 | |
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dairy | 19.6 | |
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leading rein | 19.4 | |
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farming | 19 | |
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cows | 18.8 | |
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country | 18.5 | |
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countryside | 17.4 | |
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rein | 15.6 | |
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mare | 14.7 | |
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stallion | 14.7 | |
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mammals | 14.6 | |
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structure | 14.2 | |
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black | 13.8 | |
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stable | 13.8 | |
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outdoor | 13.8 | |
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placental | 13.8 | |
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herd | 12.8 | |
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eating | 12.6 | |
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head | 12.6 | |
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vertebrate | 12.5 | |
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milk | 12.4 | |
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vaulting horse | 11.9 | |
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beef | 11.7 | |
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strap | 11.7 | |
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landscape | 11.2 | |
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calf | 11.1 | |
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sky | 10.9 | |
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graze | 10.8 | |
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barn | 10.8 | |
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bridle | 10.7 | |
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standing | 10.4 | |
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cowboy | 10.3 | |
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resort | 10 | |
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corral | 9.9 | |
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trees | 9.8 | |
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outdoors | 9.7 | |
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farmland | 9.7 | |
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pet | 9.2 | |
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eye | 8.9 | |
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pony | 8.9 | |
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hay | 8.8 | |
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ox | 8.8 | |
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agricultural | 8.8 | |
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domestic | 8.1 | |
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meat | 8.1 | |
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bulls | 7.9 | |
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farms | 7.9 | |
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equestrian | 7.9 | |
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riding | 7.8 | |
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leather strip | 7.8 | |
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fields | 7.7 | |
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outside | 7.7 | |
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stock | 7.5 | |
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gymnastic apparatus | 7.2 | |
|
Google
created on 2022-03-19
Vertebrate | 91.9 | |
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Working animal | 89.2 | |
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Jaw | 87.8 | |
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Organism | 85.8 | |
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Black-and-white | 85.3 | |
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Style | 83.8 | |
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Fence | 80.6 | |
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Adaptation | 79.3 | |
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Pack animal | 76.8 | |
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Sky | 74.5 | |
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Snapshot | 74.3 | |
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Terrestrial animal | 74.1 | |
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Monochrome photography | 73.7 | |
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Landscape | 73.5 | |
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Snout | 73.4 | |
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Livestock | 73.2 | |
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Dairy cow | 72.6 | |
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Event | 72.3 | |
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Monochrome | 71.8 | |
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Bovine | 66.7 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 18-26 |
Gender | Male, 99.9% |
Calm | 85.8% |
Confused | 8.8% |
Angry | 4.3% |
Sad | 0.5% |
Surprised | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 100% |
Calm | 98.7% |
Confused | 0.5% |
Happy | 0.2% |
Angry | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Fear | 0% |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

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
nature landscape | 89.3% | |
| ||
pets animals | 7.5% | |
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streetview architecture | 1.7% | |
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beaches seaside | 1.1% | |
|
Captions
Microsoft
created on 2022-03-19
a man standing next to a cow | 94.6% | |
| ||
a man standing in front of a cow | 93.4% | |
| ||
a man and a woman standing next to a cow | 90% | |
|
Text analysis
Amazon

NO

KODVR-EVEELA