Machine Generated Data
Tags
Amazon
created on 2022-01-23
Human | 99.4 | |
| ||
Locomotive | 98.9 | |
| ||
Transportation | 98.9 | |
| ||
Vehicle | 98.9 | |
| ||
Machine | 95.8 | |
| ||
Engine | 94.5 | |
| ||
Motor | 94.5 | |
| ||
Steam Engine | 92.5 | |
|
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-23
freight car | 100 | |
| ||
car | 100 | |
| ||
wheeled vehicle | 83.2 | |
| ||
vehicle | 74.3 | |
| ||
locomotive | 30.7 | |
| ||
transportation | 30.5 | |
| ||
conveyance | 30.1 | |
| ||
transport | 29.2 | |
| ||
railroad | 26.5 | |
| ||
track | 26.1 | |
| ||
train | 26 | |
| ||
railway | 21.6 | |
| ||
steam | 21.3 | |
| ||
engine | 21.2 | |
| ||
old | 20.9 | |
| ||
power | 17.6 | |
| ||
industry | 17.1 | |
| ||
steam locomotive | 16.3 | |
| ||
black | 16.2 | |
| ||
steel | 15.9 | |
| ||
vintage | 15.7 | |
| ||
rail | 15.7 | |
| ||
industrial | 15.4 | |
| ||
travel | 14.8 | |
| ||
wheel | 14.1 | |
| ||
machine | 12 | |
| ||
metal | 11.3 | |
| ||
field | 10.9 | |
| ||
sky | 10.8 | |
| ||
coal | 10.8 | |
| ||
cargo | 10.7 | |
| ||
iron | 10.3 | |
| ||
smoke | 10.2 | |
| ||
outdoors | 9.7 | |
| ||
antique | 9.5 | |
| ||
city | 9.1 | |
| ||
history | 8.9 | |
| ||
landscape | 8.9 | |
| ||
freight | 8.8 | |
| ||
urban | 8.7 | |
| ||
rusty | 8.6 | |
| ||
old fashioned | 8.5 | |
| ||
historic | 8.2 | |
| ||
retro | 8.2 | |
| ||
rural | 7.9 | |
| ||
tank | 7.9 | |
| ||
tracks | 7.9 | |
| ||
station | 7.9 | |
| ||
military | 7.7 | |
| ||
war | 7.7 | |
| ||
move | 7.7 | |
| ||
grunge | 7.7 | |
| ||
heavy | 7.6 | |
| ||
classic | 7.4 | |
| ||
land | 7.4 | |
| ||
farm | 7.1 | |
| ||
mountain | 7.1 | |
|
Google
created on 2022-01-23
Train | 97.8 | |
| ||
Wheel | 92.8 | |
| ||
Black | 89.6 | |
| ||
Motor vehicle | 88.8 | |
| ||
Steam engine | 78.6 | |
| ||
Rolling | 77.6 | |
| ||
Vehicle | 77.5 | |
| ||
Rolling stock | 73.8 | |
| ||
Team | 67.5 | |
| ||
Railway | 66.6 | |
| ||
Locomotive | 65.5 | |
| ||
History | 65.1 | |
| ||
Crew | 64.8 | |
| ||
Track | 64.5 | |
| ||
Vintage clothing | 61.4 | |
| ||
Public transport | 60.1 | |
| ||
Railroad car | 58.4 | |
| ||
Auto part | 52.3 | |
| ||
Classic | 51.6 | |
| ||
Transport | 51.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-24 |
Gender | Female, 99.8% |
Calm | 99.3% |
Sad | 0.3% |
Angry | 0.2% |
Confused | 0.1% |
Happy | 0% |
Surprised | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 100% |
Happy | 98.7% |
Calm | 0.3% |
Sad | 0.2% |
Surprised | 0.2% |
Angry | 0.2% |
Fear | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 99.9% |
Calm | 72.9% |
Happy | 23.8% |
Disgusted | 1.1% |
Surprised | 0.8% |
Sad | 0.4% |
Fear | 0.3% |
Confused | 0.3% |
Angry | 0.3% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 100% |
Calm | 98.7% |
Sad | 0.4% |
Angry | 0.3% |
Happy | 0.3% |
Confused | 0.1% |
Fear | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 38-46 |
Gender | Female, 100% |
Calm | 90.9% |
Happy | 3.8% |
Sad | 1.2% |
Disgusted | 1% |
Angry | 1% |
Surprised | 0.8% |
Confused | 0.7% |
Fear | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 100% |
Calm | 70.1% |
Confused | 8.9% |
Disgusted | 7% |
Angry | 4.3% |
Sad | 3.7% |
Happy | 3.2% |
Surprised | 2.1% |
Fear | 0.7% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 99.9% |
Calm | 90.1% |
Happy | 6.4% |
Confused | 1.3% |
Disgusted | 0.8% |
Sad | 0.5% |
Angry | 0.4% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 99.9% |
Angry | 52.8% |
Calm | 26.5% |
Sad | 18.2% |
Disgusted | 0.6% |
Fear | 0.6% |
Surprised | 0.5% |
Happy | 0.4% |
Confused | 0.4% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 99.9% |
Calm | 79.6% |
Angry | 10% |
Disgusted | 4.5% |
Sad | 3.5% |
Confused | 1.3% |
Happy | 0.5% |
Surprised | 0.4% |
Fear | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 100% |
Happy | 99.6% |
Surprised | 0.1% |
Fear | 0.1% |
Sad | 0% |
Calm | 0% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 48-54 |
Gender | Female, 92% |
Calm | 96.4% |
Happy | 2.8% |
Angry | 0.2% |
Confused | 0.2% |
Surprised | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 99.9% |
Calm | 84.3% |
Confused | 7.6% |
Sad | 5% |
Angry | 2.6% |
Surprised | 0.2% |
Disgusted | 0.1% |
Happy | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 100% |
Happy | 99.3% |
Calm | 0.4% |
Surprised | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Confused | 0.1% |
Fear | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 100% |
Calm | 99.9% |
Confused | 0.1% |
Happy | 0% |
Angry | 0% |
Surprised | 0% |
Sad | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 100% |
Sad | 74.7% |
Calm | 17.4% |
Angry | 4.7% |
Disgusted | 1.4% |
Happy | 0.6% |
Confused | 0.6% |
Surprised | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 100% |
Happy | 56.2% |
Disgusted | 25.9% |
Calm | 12.8% |
Angry | 1.5% |
Confused | 1% |
Surprised | 1% |
Sad | 0.9% |
Fear | 0.5% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 100% |
Calm | 97.6% |
Sad | 1.1% |
Happy | 0.4% |
Angry | 0.4% |
Confused | 0.3% |
Surprised | 0.1% |
Fear | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Calm | 92.3% |
Angry | 2.7% |
Happy | 2.6% |
Sad | 0.6% |
Surprised | 0.6% |
Disgusted | 0.5% |
Confused | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Calm | 99.1% |
Happy | 0.4% |
Sad | 0.2% |
Confused | 0.2% |
Angry | 0.1% |
Surprised | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 100% |
Happy | 99.7% |
Calm | 0.1% |
Surprised | 0.1% |
Fear | 0% |
Angry | 0% |
Sad | 0% |
Disgusted | 0% |
Confused | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Female, 100% |
Disgusted | 85.5% |
Calm | 9.2% |
Happy | 3.4% |
Angry | 0.8% |
Sad | 0.4% |
Confused | 0.4% |
Surprised | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Happy | 98.8% |
Calm | 0.8% |
Angry | 0.1% |
Surprised | 0.1% |
Disgusted | 0% |
Sad | 0% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 100% |
Disgusted | 93.9% |
Calm | 4.9% |
Sad | 0.4% |
Happy | 0.4% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 100% |
Happy | 65.8% |
Confused | 26.7% |
Calm | 5.1% |
Sad | 1.3% |
Angry | 0.3% |
Disgusted | 0.3% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 99.1% |
Calm | 96.8% |
Happy | 2.5% |
Disgusted | 0.2% |
Confused | 0.1% |
Surprised | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 37-45 |
Gender | Female, 100% |
Sad | 50.3% |
Calm | 47.8% |
Angry | 1.3% |
Surprised | 0.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 99.9% |
Happy | 96.2% |
Disgusted | 1.9% |
Calm | 1.2% |
Angry | 0.2% |
Surprised | 0.2% |
Confused | 0.2% |
Sad | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 100% |
Calm | 99.4% |
Confused | 0.3% |
Angry | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 100% |
Happy | 51.4% |
Angry | 24.9% |
Calm | 10.5% |
Sad | 7.6% |
Surprised | 1.9% |
Confused | 1.8% |
Disgusted | 1.2% |
Fear | 0.7% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 100% |
Happy | 98.1% |
Disgusted | 0.9% |
Calm | 0.3% |
Surprised | 0.2% |
Angry | 0.1% |
Sad | 0.1% |
Fear | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 100% |
Happy | 99.6% |
Calm | 0.3% |
Surprised | 0% |
Angry | 0% |
Confused | 0% |
Fear | 0% |
Sad | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 34-42 |
Gender | Female, 100% |
Happy | 98.6% |
Calm | 0.5% |
Surprised | 0.3% |
Angry | 0.2% |
Fear | 0.2% |
Sad | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 16-24 |
Gender | Female, 99.8% |
Calm | 90.8% |
Happy | 6.8% |
Disgusted | 1.2% |
Confused | 0.3% |
Sad | 0.3% |
Surprised | 0.2% |
Angry | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 92.5% |
Calm | 97.5% |
Angry | 0.7% |
Confused | 0.5% |
Disgusted | 0.5% |
Sad | 0.4% |
Happy | 0.2% |
Surprised | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 100% |
Calm | 99.2% |
Sad | 0.3% |
Angry | 0.2% |
Confused | 0.1% |
Fear | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 99.8% |
Happy | 91.4% |
Calm | 7.7% |
Surprised | 0.2% |
Angry | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Calm | 96.4% |
Sad | 1.5% |
Happy | 0.6% |
Angry | 0.5% |
Confused | 0.3% |
Surprised | 0.3% |
Fear | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 16-22 |
Gender | Female, 100% |
Calm | 55.4% |
Angry | 23.6% |
Sad | 17.3% |
Disgusted | 1.4% |
Confused | 0.9% |
Fear | 0.5% |
Surprised | 0.5% |
Happy | 0.4% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 100% |
Happy | 90.1% |
Calm | 8.1% |
Surprised | 0.4% |
Sad | 0.4% |
Angry | 0.3% |
Fear | 0.3% |
Disgusted | 0.2% |
Confused | 0.2% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 99.4% |
Calm | 95.9% |
Sad | 1.9% |
Confused | 1.4% |
Angry | 0.4% |
Happy | 0.1% |
Fear | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 11-19 |
Gender | Female, 77.6% |
Calm | 72.3% |
Happy | 25.6% |
Angry | 0.8% |
Surprised | 0.4% |
Confused | 0.4% |
Disgusted | 0.3% |
Sad | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 99.7% |
Disgusted | 72.1% |
Calm | 15.2% |
Confused | 6.6% |
Angry | 3.5% |
Happy | 1.5% |
Sad | 0.5% |
Surprised | 0.4% |
Fear | 0.2% |

AWS Rekognition
Age | 48-54 |
Gender | Female, 100% |
Happy | 97.5% |
Calm | 1% |
Sad | 0.3% |
Surprised | 0.3% |
Fear | 0.3% |
Angry | 0.2% |
Disgusted | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 99.3% |
Calm | 70.6% |
Disgusted | 13.1% |
Angry | 4.8% |
Confused | 3.7% |
Sad | 3.4% |
Surprised | 3% |
Happy | 0.8% |
Fear | 0.7% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 95.9% |
Happy | 87.3% |
Calm | 8.2% |
Disgusted | 1.1% |
Angry | 0.9% |
Surprised | 0.9% |
Sad | 0.9% |
Fear | 0.5% |
Confused | 0.3% |

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

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

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

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 |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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 |

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

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

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 | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

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

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 likely |

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

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

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

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 likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Clarifai

AWS Rekognition
Person | 99.4% | |
|

AWS Rekognition
Person | 99.3% | |
|

AWS Rekognition
Person | 99.3% | |
|

AWS Rekognition
Person | 99.2% | |
|

AWS Rekognition
Person | 98.8% | |
|

AWS Rekognition
Person | 98.1% | |
|

AWS Rekognition
Person | 97.1% | |
|

AWS Rekognition
Person | 94.6% | |
|

AWS Rekognition
Person | 94.4% | |
|

AWS Rekognition
Person | 92.6% | |
|

AWS Rekognition
Person | 89% | |
|

AWS Rekognition
Person | 87.8% | |
|

AWS Rekognition
Person | 85.2% | |
|

AWS Rekognition
Person | 84.8% | |
|

AWS Rekognition
Person | 84.6% | |
|

AWS Rekognition
Person | 78.5% | |
|

AWS Rekognition
Person | 77.9% | |
|

AWS Rekognition
Person | 72.4% | |
|

AWS Rekognition
Person | 69.3% | |
|

AWS Rekognition
Person | 69% | |
|

AWS Rekognition
Person | 62.8% | |
|

AWS Rekognition
Person | 42.5% | |
|

AWS Rekognition
Train | 92.8% | |
|

AWS Rekognition
Wheel | 61% | |
|

Clarifai
Person | 89.1% | |
|

Clarifai
Person | 70.8% | |
|

Clarifai
Person | 67% | |
|

Clarifai
Person | 63.5% | |
|

Clarifai
Person | 62.2% | |
|

Clarifai
Person | 61.9% | |
|

Clarifai
Person | 61.8% | |
|

Clarifai
Person | 59.7% | |
|

Clarifai
Person | 59.3% | |
|

Clarifai
Person | 59.2% | |
|

Clarifai
Person | 59.1% | |
|

Clarifai
Person | 58.9% | |
|

Clarifai
Person | 58.9% | |
|

Clarifai
Person | 58.4% | |
|

Clarifai
Person | 57.9% | |
|

Clarifai
Person | 57.9% | |
|

Clarifai
Person | 57.4% | |
|

Clarifai
Person | 57.2% | |
|

Clarifai
Person | 56.3% | |
|

Clarifai
Person | 55.8% | |
|

Clarifai
Person | 55.5% | |
|

Clarifai
Person | 55.1% | |
|

Clarifai
Person | 54.8% | |
|

Clarifai
Person | 54.6% | |
|

Clarifai
Person | 53.8% | |
|

Clarifai
Person | 53.7% | |
|

Clarifai
Person | 53.2% | |
|

Clarifai
Person | 52.6% | |
|

Clarifai
Person | 52.5% | |
|

Clarifai
Person | 52.4% | |
|

Clarifai
Person | 51.5% | |
|

Clarifai
Person | 51.1% | |
|

Clarifai
Person | 50.5% | |
|

Clarifai
Person | 50.2% | |
|

Clarifai
Person | 49.5% | |
|

Clarifai
Person | 49.4% | |
|

Clarifai
Person | 47.7% | |
|

Clarifai
Person | 47.5% | |
|

Clarifai
Person | 47% | |
|

Clarifai
Person | 46.1% | |
|

Clarifai
Person | 43.8% | |
|

Clarifai
Person | 42.4% | |
|

Clarifai
Wheel | 73% | |
|

Clarifai
Wheel | 64.6% | |
|

Clarifai
Wheel | 57.3% | |
|

Clarifai
Wheel | 45.3% | |
|

Clarifai
Clothing | 60.4% | |
|

Clarifai
Clothing | 59.3% | |
|

Clarifai
Clothing | 51.4% | |
|

Clarifai
Clothing | 48.8% | |
|

Clarifai
Clothing | 43.3% | |
|

Clarifai
Land vehicle | 49% | |
|

Clarifai
Footwear | 48% | |
|

Clarifai
Footwear | 45.4% | |
|

Clarifai
Footwear | 44.5% | |
|

Clarifai
Footwear | 44% | |
|

Clarifai
Footwear | 43.8% | |
|

Clarifai
Footwear | 42.6% | |
|

Clarifai
Footwear | 39% | |
|

Clarifai
Footwear | 38.1% | |
|

Clarifai
Footwear | 37.9% | |
|

Clarifai
Footwear | 34.5% | |
|

Clarifai
Plant | 38.6% | |
|
Categories
Imagga
created on 2022-01-23
streetview architecture | 97.1% | |
|
Captions
Microsoft
created by unknown on 2022-01-23
an old photo of a group of people posing for the camera | 95.2% | |
| ||
a group of people posing for a photo | 95.1% | |
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an old photo of a group of people posing for a picture | 95% | |
|
Clarifai
Created by general-english-image-caption-clip on 2025-07-13
a group of women and men in uniform.
Salesforce
Created by general-english-image-caption-blip on 2025-05-03
a photograph of a group of people standing in front of a train
OpenAI GPT
Created by gpt-4o-2024-11-20 on 2025-06-17
This is a black-and-white vintage group photograph showing a large number of individuals dressed in uniform-like attire. They are posed in several rows outdoors in front of a steam locomotive labeled "M-K-T" (Missouri-Kansas-Texas Railroad or "Katy"). The train, featuring large wheels and intricate mechanical details, serves as the backdrop. Various items, including megaphones, are visible in front of the group, suggesting a possible connection to cheerleading, school activities, or team spirit. The setting is organized, capturing a moment in time with historical and industrial significance.
Created by gpt-4o-2024-08-06 on 2025-06-17
This image depicts a group of individuals, possibly a school or community group, gathered in front of a steam locomotive. They are arranged in several rows, with some seated on the grass and others standing behind them. The locomotive is identified as part of the M-K-T (Missouri-Kansas-Texas) Line, and the number "283" is visible on the train's cab. The group appears to be wearing uniforms or matching outfits, and there are several megaphones placed on the ground in front of them, suggesting a school or sports context.
Anthropic Claude
Created by anthropic.claude-3-haiku-20240307-v1:0 on 2025-06-21
The image appears to be a black and white photograph of a large group of women, likely a nursing or medical training program. The women are all wearing white uniforms and are seated or standing in front of a large steam locomotive. The locomotive has the letters "M-K-T" painted on its side. The women seem to be posing for a group photograph, with some sitting on the ground and others standing behind them. The image has a vintage, historical feel to it.
Created by us.anthropic.claude-3-5-sonnet-20241022-v2:0 on 2025-06-21
This is a vintage black and white photograph showing a large group of women in white dresses or uniforms posed in front of a Missouri-Kansas-Texas (M-K-T) steam locomotive. The locomotive appears to be engine number 293. The group is arranged in three rows, with some members holding what appear to be megaphones or cheerleading cones. The women are all dressed similarly in light-colored outfits, suggesting this might be a team, club, or organization photo. The image has the classic formal composition typical of group photographs from what appears to be the 1930s or 1940s. The steam locomotive provides an impressive backdrop, with its large wheels and mechanical details clearly visible.
Meta Llama
Created by us.meta.llama3-2-11b-instruct-v1:0 on 2025-06-10
The image is a black-and-white photograph of a group of women posing in front of a train.
The women are dressed in white dresses and blouses, with some wearing dark cardigans or jackets. They are arranged in rows, with the front row kneeling on the grass. The women in the front row are holding megaphones, while those in the back rows are standing. The women appear to be in their 20s or 30s.
In the background, a large black train is visible, with the letters "M-K-T" written in white on the side. The train has a large number "285" written on the front, and a man is visible in the driver's seat. The sky above is bright and overexposed, suggesting that the photo was taken on a sunny day.
The overall atmosphere of the image suggests that it was taken during a special event or celebration, possibly a train ride or a social gathering. The women's uniforms and the presence of megaphones suggest that they may be part of a team or organization, such as a sports team or a choir.
Created by us.meta.llama3-2-90b-instruct-v1:0 on 2025-06-10
This image is a vintage black-and-white photograph of a large group of women posing in front of a train. The women are dressed in white dresses and appear to be wearing dark jackets or sweaters over their dresses. Some of the women are holding megaphones, while others have their hands clasped together in front of them.
In the background, a large train engine is visible, with the letters "M-K-T" prominently displayed on its side. The number "293" is also visible on the front of the engine. The train appears to be stationary, and the women are standing on a grassy area in front of it.
The overall atmosphere of the image suggests that the women may be part of a group or organization, possibly related to the railroad industry. The presence of megaphones and the formal attire of the women suggest that they may be participating in some kind of event or ceremony.
Amazon Nova
Created by amazon.nova-lite-v1:0 on 2025-06-09
A black-and-white photo of a group of women in white dresses and hats sitting and standing on the grass. They are holding megaphones and seem to be posing for a photo. Behind them is a train with the number 285 on the front. The train has a person sitting inside the window, and the train is parked on the side of the track. The photo has a black border.
Created by amazon.nova-pro-v1:0 on 2025-06-09
The image has a black and white filter and shows a group of women in white dresses, with some wearing hats, posing for a photo. They are sitting on the grass in front of a train. There are two women in the front row wearing black dresses, and one of them is holding a megaphone. The train has the text "M-K-T" on the side and the number "285" on the front.
Google Gemini
Created by gemini-2.0-flash on 2025-05-19
A black and white photograph depicts a large group of women posing in front of a steam locomotive. The women are dressed in what appears to be uniform outfits, mostly light-colored dresses or tops and skirts, with some wearing jackets. They are arranged in rows, with some seated on the ground and others standing behind them. In the front row, a few women are holding megaphones, suggesting they might be cheerleaders or part of an organized group.
Behind the women stands a large steam locomotive with the letters "M-K-T" visible on its side. The number "285" is displayed on the front of the engine. A man can be seen in the locomotive's cab. The scene is set outdoors, with grass visible in the foreground. The overall composition suggests a historical or archival photo, possibly documenting a school group or organization connected to the railroad industry.
Created by gemini-2.0-flash-lite on 2025-05-19
Certainly! Here's a description of the image:
Overall Impression:
The image is a black and white photograph with a strong vintage feel. It appears to be a group photo of a large number of women posing in front of a large steam locomotive.
Details:
- Subject: The main focus is on a group of approximately 35-40 women dressed in a similar style of clothing – many are in white dresses or blouses and skirts, with some wearing blazers. They are arranged in rows on what appears to be a grassy area. Several of them hold megaphones.
- Background: Dominating the background is a large, dark steam locomotive with the markings "M-K-T". The locomotive is parked on tracks. There's a man visible in the cab.
- Atmosphere: The image suggests an era of the mid-20th century. The style of dress, the locomotive, and the overall composition evoke a sense of nostalgia.
- Quality: The image appears to be a vintage print, likely taken in a studio. The picture is crisp, and the composition is well balanced.
Let me know if you would like a more detailed analysis of any specific aspect!
Mistral Pixtral
Created by us.mistral.pixtral-large-2502-v1:0 on 2025-06-04
The image depicts a group of women posing in front of a large steam locomotive. The women are dressed in uniforms, which suggest they might be nurses or members of a medical profession. They are arranged in several rows, with some standing and others seated or kneeling in the front. The uniforms consist of white dresses and caps, which were typical attire for nurses during the early to mid-20th century.
The steam locomotive in the background is labeled with the letters "M-K-T" on its tender, which stands for the Missouri-Kansas-Texas Railroad, commonly known as the Katy Railroad. The locomotive appears to be a large, powerful engine with prominent wheels and a classic steam engine design.
The setting appears to be outdoors, possibly at a rail yard or station, given the presence of the locomotive and the tracks visible in the background. The image has a vintage feel, likely taken in black and white, which further suggests it is from an earlier era, possibly the early to mid-20th century.
Overall, the image captures a moment in history, showcasing a group of women in uniform in front of a significant piece of railroad history.
Qwen
No captions written
Text analysis
Amazon









