Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/15962437/201,390,38,54/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 54.9% |
Happy | 45.6% |
Calm | 47.5% |
Angry | 46.1% |
Sad | 48.7% |
Confused | 45.8% |
Disgusted | 45.3% |
Surprised | 46.1% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/492,529,28,46/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 52% |
Angry | 46.6% |
Calm | 46.5% |
Sad | 46.3% |
Disgusted | 47.9% |
Surprised | 45.8% |
Confused | 45.5% |
Happy | 46.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/314,466,27,37/full/0/native.jpg)
AWS Rekognition
Age | 45-63 |
Gender | Female, 53.9% |
Disgusted | 45% |
Sad | 54.7% |
Surprised | 45% |
Angry | 45.1% |
Calm | 45.1% |
Happy | 45% |
Confused | 45% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/577,534,32,44/full/0/native.jpg)
AWS Rekognition
Age | 48-68 |
Gender | Female, 54.5% |
Angry | 49.5% |
Confused | 45.3% |
Disgusted | 45.1% |
Surprised | 45.6% |
Calm | 46.1% |
Sad | 48.1% |
Happy | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/361,439,25,34/full/0/native.jpg)
AWS Rekognition
Age | 6-13 |
Gender | Female, 50.7% |
Disgusted | 45.1% |
Confused | 45.2% |
Sad | 46.4% |
Surprised | 45.5% |
Calm | 45.4% |
Angry | 45.7% |
Happy | 51.6% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/656,519,35,46/full/0/native.jpg)
AWS Rekognition
Age | 29-45 |
Gender | Male, 54.3% |
Surprised | 45.2% |
Sad | 52.6% |
Happy | 45.6% |
Disgusted | 45.4% |
Calm | 45.6% |
Angry | 45.4% |
Confused | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/120,398,32,44/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Female, 54.8% |
Happy | 45.3% |
Surprised | 45.1% |
Sad | 53.9% |
Disgusted | 45.3% |
Angry | 45.2% |
Calm | 45.3% |
Confused | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/479,382,14,17/full/0/native.jpg)
AWS Rekognition
Age | 12-22 |
Gender | Female, 50.1% |
Confused | 49.5% |
Angry | 49.6% |
Calm | 50.2% |
Sad | 49.6% |
Surprised | 49.6% |
Disgusted | 49.5% |
Happy | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/435,386,16,17/full/0/native.jpg)
AWS Rekognition
Age | 14-25 |
Gender | Male, 50.4% |
Disgusted | 49.6% |
Confused | 49.6% |
Sad | 50.1% |
Calm | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/543,674,37,50/full/0/native.jpg)
AWS Rekognition
Age | 48-68 |
Gender | Female, 52.8% |
Disgusted | 45.2% |
Angry | 45.5% |
Sad | 52.7% |
Confused | 45.1% |
Calm | 46% |
Surprised | 45.2% |
Happy | 45.4% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/427,481,24,36/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 54.5% |
Surprised | 45.3% |
Disgusted | 45.1% |
Confused | 45.1% |
Angry | 45.7% |
Happy | 50.7% |
Calm | 47.7% |
Sad | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/388,453,24,33/full/0/native.jpg)
AWS Rekognition
Age | 45-66 |
Gender | Male, 54.8% |
Surprised | 45.7% |
Confused | 45.6% |
Disgusted | 47.3% |
Angry | 45.7% |
Sad | 47.8% |
Calm | 46.3% |
Happy | 46.7% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/402,392,15,18/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Confused | 49.5% |
Angry | 50.1% |
Disgusted | 49.5% |
Sad | 49.7% |
Happy | 49.5% |
Calm | 49.6% |
Surprised | 49.6% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/160,383,24,37/full/0/native.jpg)
AWS Rekognition
Age | 26-44 |
Gender | Male, 52% |
Surprised | 45.7% |
Angry | 45.4% |
Sad | 45.7% |
Happy | 45.1% |
Disgusted | 45.1% |
Confused | 45.3% |
Calm | 52.8% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/658,425,19,25/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.5% |
Confused | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/474,469,25,31/full/0/native.jpg)
AWS Rekognition
Age | 45-66 |
Gender | Female, 50% |
Disgusted | 45.1% |
Calm | 45.1% |
Happy | 45.1% |
Surprised | 45.1% |
Sad | 54.5% |
Angry | 45.2% |
Confused | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/424,591,35,45/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 50% |
Sad | 46% |
Confused | 45.2% |
Surprised | 45.2% |
Angry | 45.8% |
Disgusted | 45.1% |
Happy | 45.1% |
Calm | 52.7% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/465,522,29,44/full/0/native.jpg)
AWS Rekognition
Age | 29-45 |
Gender | Female, 50.1% |
Surprised | 45.1% |
Happy | 45% |
Sad | 54.3% |
Confused | 45.1% |
Disgusted | 45% |
Angry | 45.2% |
Calm | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/548,374,13,17/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/546,434,19,26/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 50% |
Calm | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.5% |
Confused | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/608,438,14,19/full/0/native.jpg)
AWS Rekognition
Age | 35-53 |
Gender | Female, 50.3% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Calm | 49.5% |
Disgusted | 49.6% |
Confused | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/200,395,43,43/full/0/native.jpg)
Microsoft Cognitive Services
Age | 14 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/573,543,37,37/full/0/native.jpg)
Microsoft Cognitive Services
Age | 33 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/650,523,44,44/full/0/native.jpg)
Microsoft Cognitive Services
Age | 6 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/484,536,37,37/full/0/native.jpg)
Microsoft Cognitive Services
Age | 26 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/15962437/188,378,67,77/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 37.9% | |
paintings art | 21.7% | |
pets animals | 17.4% | |
events parties | 10.9% | |
nature landscape | 8.4% | |
macro flowers | 2.5% | |
food drinks | 0.6% | |
streetview architecture | 0.2% | |
text visuals | 0.2% | |
interior objects | 0.1% | |
beaches seaside | 0.1% | |
Captions
Microsoft
created on 2018-03-22
a painting of a graffiti covered wall | 72.4% | |
a painting hanging on a wall | 72.3% | |
a painting on the wall | 72.2% | |
Azure OpenAI
Created on 2024-01-25
The image depicts a vibrant and dynamic scene with various elements that suggest a festive or celebratory gathering. A group of individuals dressed in colorful attire is gathered to the right of the image; their attention seems to be directed towards something out of frame. On the upper part of the image, there appear to be ethereal figures playing musical instruments, possibly suggesting a whimsical or fantastical element to the scene. The background features simple house structures along with greenery, hinting at a rural or village setting. The overall style is rich in texture and color, conveying a sense of movement and vitality. The signature at the bottom left suggests the name "Chagall," indicating the artist who created this scene.
Anthropic Claude
Created on 2024-03-29
The image depicts a wedding scene with a large group of people. In the center, there is a bride and groom standing on a raised platform, surrounded by a large crowd of wedding guests. The guests appear to be a diverse group of people, capturing the joyous and festive atmosphere of the occasion. Above the central wedding scene, there are floating figures and shapes, creating a whimsical and dreamlike quality to the composition. The overall style of the painting is expressive and colorful, with dynamic brushstrokes and a vibrant palette. The scene also includes various buildings and structures in the background, providing a sense of setting and context for the wedding celebration. The painting conveys a sense of movement, energy, and celebration, capturing the excitement and emotion of a wedding event.