Human Generated Data

Title

A Panoply of Priests

Date

c. 1835

People

-

Classification

Drawings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Stuart Cary Welch Collection, Gift of Edith I. Welch in memory of Stuart Cary Welch, 2009.202.62

Human Generated Data

Title

A Panoply of Priests

Date

c. 1835

Classification

Drawings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Stuart Cary Welch Collection, Gift of Edith I. Welch in memory of Stuart Cary Welch, 2009.202.62

Machine Generated Data

Tags

Amazon
created on 2020-04-25

Rug 98.8
Text 97
Animal 90
Bird 90
Bird 72.9
Letter 58.2

Clarifai
created on 2020-04-25

dirty 97.6
old 97
desktop 97
texture 96.8
retro 96.6
paper 96.2
rough 95.2
no person 95
design 94.7
pattern 94.6
ancient 93.4
antique 92.6
empty 92.2
art 91.1
architecture 90.4
wall 88.5
picture frame 88.5
writing 88.4
parchment 87.9
abstract 87.7

Imagga
created on 2020-04-25

gravestone 92.9
memorial 90.8
stone 66.2
structure 59.8
old 49.6
texture 47.3
grunge 42.7
graffito 41.5
antique 39
aged 38.1
vintage 36.5
dirty 36.2
wall 34.3
rough 33.8
retro 33.7
textured 30.7
weathered 30.5
pattern 30.2
decoration 28.6
ancient 28.6
material 27.8
grungy 27.6
paper 25.9
stained 24.1
blank 23.2
parchment 23.1
aging 23.1
wallpaper 23
canvas 22.8
backgrounds 22.8
damaged 22
empty 21.5
brass 21.4
surface 21.2
rusty 21
burnt 20.5
stain 20.2
torn 19.4
frame 19.2
brown 19.2
design 18.6
messy 18.4
text 18.4
decay 18.4
worn 18.2
detail 17.7
age 17.2
sheet 17
backdrop 16.5
paint 16.3
border 16.3
dirt 16.3
burlap 15.5
obsolete 15.4
art 14.4
page 13.9
note 13.8
book 13.8
cement 13.6
spotted 13.5
spot 13.5
scratch 12.7
gray 12.6
history 12.6
rust 12.5
concrete 12.5
metal 12.1
letter 11.9
poster 11.4
closeup 10.8
building 10.3
close 10.3
construction 10.3
document 10.2
architecture 10.2
doormat 10.2
pages 9.8
sepia 9.7
layers 9.7
cardboard 9.6
color 9.5
iron 9.3
grain 9.2
mat 9
brittle 8.9
scrolls 8.9
letterhead 8.9
correspondence 8.8
grime 8.8
burning 8.7
yellow 8.6
decorative 8.4
metallic 8.3
cotton 8.2
stucco 8.1
urban 7.9
scratched 7.8
manuscript 7.8
space 7.8
textures 7.6
effect 7.3
fabric 7

Google
created on 2020-04-25

Text 88.1
Font 78.3
History 54.1
Art 50.2

Microsoft
created on 2020-04-25

handwriting 96.3
bird 64.3
text 59.6
abstract 53.7
drawing 50.5
stone 10.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 51%
Surprised 45.1%
Confused 45%
Disgusted 45%
Fear 45%
Calm 46.3%
Happy 53.5%
Angry 45%
Sad 45%

AWS Rekognition

Age 20-32
Gender Female, 54.3%
Calm 45.3%
Happy 53.1%
Fear 45.1%
Sad 45.5%
Disgusted 45.1%
Confused 45.1%
Surprised 45.7%
Angry 45.1%

AWS Rekognition

Age 3-9
Gender Female, 51.2%
Fear 45%
Sad 45%
Disgusted 45%
Happy 54.6%
Confused 45%
Calm 45.3%
Surprised 45%
Angry 45%

AWS Rekognition

Age 20-32
Gender Female, 51.8%
Calm 49.5%
Confused 45.1%
Angry 45.5%
Happy 45.7%
Fear 46.6%
Disgusted 45.6%
Surprised 46.2%
Sad 45.8%

AWS Rekognition

Age 21-33
Gender Female, 91.7%
Happy 27.9%
Calm 5.4%
Angry 1%
Disgusted 2.2%
Fear 1.7%
Sad 42.2%
Confused 18.7%
Surprised 0.8%

AWS Rekognition

Age 47-65
Gender Male, 54.8%
Sad 45.5%
Surprised 45.3%
Calm 52.5%
Angry 45.1%
Fear 45.1%
Happy 46.4%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 22-34
Gender Female, 54.3%
Disgusted 45%
Fear 45.1%
Calm 52.6%
Surprised 45.1%
Angry 45.2%
Sad 45.6%
Confused 45%
Happy 46.3%

AWS Rekognition

Age 6-16
Gender Female, 51.5%
Disgusted 45%
Surprised 45%
Angry 45%
Confused 45%
Happy 54.8%
Sad 45%
Calm 45.1%
Fear 45%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Fear 45.1%
Disgusted 45%
Surprised 45%
Happy 46.1%
Angry 45.1%
Sad 53.3%
Confused 45.1%
Calm 45.2%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Confused 45%
Angry 45.1%
Calm 48.5%
Happy 51.4%
Fear 45%
Sad 45%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 22-34
Gender Male, 53.8%
Fear 45%
Calm 55%
Sad 45%
Confused 45%
Disgusted 45%
Happy 45%
Angry 45%
Surprised 45%

AWS Rekognition

Age 23-35
Gender Male, 50.2%
Calm 45.1%
Disgusted 45%
Happy 54.5%
Surprised 45.1%
Sad 45.1%
Confused 45%
Fear 45.2%
Angry 45.1%

AWS Rekognition

Age 22-34
Gender Female, 84.6%
Angry 2.1%
Fear 0.8%
Happy 80.2%
Surprised 1%
Calm 9.9%
Confused 0.6%
Disgusted 0.5%
Sad 4.8%

AWS Rekognition

Age 23-35
Gender Female, 53.5%
Happy 52.5%
Fear 45.1%
Disgusted 45%
Calm 46.8%
Surprised 45.2%
Sad 45.1%
Confused 45%
Angry 45.3%

AWS Rekognition

Age 23-35
Gender Male, 54.5%
Happy 45%
Sad 45%
Confused 45%
Fear 45%
Disgusted 45%
Angry 45.1%
Surprised 45%
Calm 54.9%

AWS Rekognition

Age 20-32
Gender Female, 53.8%
Calm 47.3%
Sad 46.5%
Angry 46.3%
Disgusted 45.1%
Fear 45.3%
Happy 48.1%
Confused 45.1%
Surprised 46.2%

AWS Rekognition

Age 24-38
Gender Female, 52.3%
Happy 51.4%
Surprised 45.7%
Sad 45.9%
Calm 46.3%
Disgusted 45%
Fear 45.1%
Confused 45.1%
Angry 45.5%

AWS Rekognition

Age 22-34
Gender Female, 53.7%
Calm 54.2%
Angry 45%
Happy 45.2%
Disgusted 45%
Fear 45%
Sad 45.5%
Confused 45%
Surprised 45%

AWS Rekognition

Age 15-27
Gender Male, 50.2%
Fear 45%
Happy 45%
Angry 52.8%
Surprised 45%
Confused 45%
Disgusted 45%
Sad 45.1%
Calm 47%

AWS Rekognition

Age 24-38
Gender Male, 53.7%
Angry 45.2%
Surprised 50.8%
Confused 45%
Disgusted 45.1%
Happy 47.6%
Calm 45.8%
Fear 45.4%
Sad 45%

AWS Rekognition

Age 23-35
Gender Female, 53.3%
Fear 45%
Surprised 45.2%
Disgusted 45%
Calm 52.5%
Sad 45%
Angry 45%
Happy 47.3%
Confused 45%

AWS Rekognition

Age 24-38
Gender Female, 52.7%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45.1%
Happy 47.7%
Calm 51.2%
Confused 45%
Sad 45.9%

AWS Rekognition

Age 22-34
Gender Female, 77.7%
Calm 58.7%
Sad 2.8%
Fear 5%
Happy 12.7%
Disgusted 0.6%
Surprised 10.3%
Confused 1.5%
Angry 8.3%

AWS Rekognition

Age 22-34
Gender Female, 50.3%
Happy 45.6%
Disgusted 45%
Confused 45.1%
Surprised 45.1%
Calm 51.7%
Fear 45.1%
Angry 45.4%
Sad 47%

AWS Rekognition

Age 22-34
Gender Female, 52.6%
Sad 45%
Disgusted 45%
Fear 45%
Angry 45%
Happy 54.6%
Calm 45.4%
Confused 45%
Surprised 45%

AWS Rekognition

Age 24-38
Gender Female, 53.4%
Fear 45%
Confused 45%
Angry 45%
Surprised 45%
Disgusted 45%
Calm 54.8%
Happy 45.1%
Sad 45%

AWS Rekognition

Age 24-38
Gender Male, 52.5%
Happy 45%
Fear 45%
Disgusted 45%
Calm 49%
Surprised 50.6%
Sad 45.1%
Confused 45.2%
Angry 45.1%

AWS Rekognition

Age 24-38
Gender Male, 52.6%
Angry 48.4%
Fear 45.4%
Disgusted 45.1%
Happy 45.9%
Calm 47.8%
Sad 46.1%
Surprised 46.3%
Confused 45.1%

AWS Rekognition

Age 20-32
Gender Female, 71.5%
Disgusted 0.5%
Angry 1.1%
Fear 0.4%
Surprised 6.6%
Sad 4.4%
Calm 35.6%
Happy 50.1%
Confused 1.4%

AWS Rekognition

Age 16-28
Gender Female, 50.3%
Happy 48.2%
Surprised 45.1%
Calm 51.6%
Fear 45%
Sad 45.1%
Disgusted 45%
Confused 45%
Angry 45.1%

AWS Rekognition

Age 17-29
Gender Female, 53.9%
Calm 45.1%
Sad 45%
Angry 45%
Disgusted 45%
Fear 45%
Happy 54.7%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 23-35
Gender Female, 54%
Fear 45%
Sad 45.8%
Happy 48.9%
Angry 45.1%
Calm 50.1%
Disgusted 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 20-32
Gender Male, 51.7%
Confused 45%
Calm 45.8%
Disgusted 45%
Surprised 45%
Sad 45.1%
Happy 54%
Angry 45%
Fear 45%

AWS Rekognition

Age 24-38
Gender Female, 51.1%
Angry 45.1%
Calm 51.5%
Disgusted 45%
Happy 45.8%
Fear 45%
Confused 45%
Surprised 45%
Sad 47.5%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Surprised 45.1%
Angry 45.2%
Happy 54%
Confused 45.1%
Calm 45.5%
Sad 45.1%
Disgusted 45%
Fear 45%

AWS Rekognition

Age 22-34
Gender Female, 53%
Sad 47.3%
Calm 49.8%
Disgusted 45.1%
Angry 45.1%
Confused 45.1%
Surprised 45.2%
Happy 47.4%
Fear 45.1%

AWS Rekognition

Age 16-28
Gender Female, 50.5%
Happy 45.4%
Fear 46.1%
Surprised 45.1%
Confused 45.1%
Sad 49%
Calm 45.4%
Disgusted 45.4%
Angry 48.6%

AWS Rekognition

Age 31-47
Gender Male, 50.9%
Fear 9.1%
Disgusted 0.3%
Angry 6.2%
Confused 1.5%
Happy 0.1%
Calm 15.7%
Surprised 0.6%
Sad 66.5%

AWS Rekognition

Age 22-34
Gender Female, 53.4%
Disgusted 45%
Happy 53%
Calm 46.9%
Fear 45%
Confused 45%
Sad 45%
Surprised 45.1%
Angry 45%

AWS Rekognition

Age 21-33
Gender Female, 53.9%
Disgusted 45%
Fear 45%
Sad 45%
Calm 45.7%
Happy 54.2%
Confused 45%
Surprised 45%
Angry 45%

AWS Rekognition

Age 26-40
Gender Female, 51.6%
Happy 49.6%
Fear 45.4%
Calm 45.8%
Angry 45.5%
Confused 46.1%
Surprised 47.1%
Disgusted 45.2%
Sad 45.3%

AWS Rekognition

Age 18-30
Gender Female, 51.6%
Calm 53.6%
Angry 45%
Disgusted 45%
Fear 45%
Surprised 45%
Sad 45.2%
Confused 45%
Happy 46.2%

Feature analysis

Amazon

Rug 98.8%
Bird 90%

Categories

Captions

Microsoft
created on 2020-04-25

a graffiti covered building 62.1%
graffiti on a brick building 43.5%
graffiti on a wall 43.4%

Azure OpenAI

Created by gpt-4 on 2024-12-13

The image depicts a collection of hand-drawn sketches on an aged and weathered piece of paper. These illustrations seem to portray a variety of figures, likely representing people, that are drawn with attention to facial features and expressions. The art style suggests that it might be influenced by a particular cultural or historical artistic tradition, with details in attire and hairstyles that could offer clues about the region or period from which these sketches originate. There are visible text markings and annotations interspersed among the sketches, possibly describing the figures or providing context for the artwork. The overall condition of the paper might suggest historical significance, and the composition of multiple sketches on a single sheet indicates that this might have been a study or practice sheet for the artist.

Created by gpt-4o-2024-05-13 on 2024-12-13

This image appears to be an aged and weathered manuscript or a historical document with intricate drawings and inscriptions. The illustrations depict numerous individuals drawn in a traditional style, characterized by detailed facial features and attire. The figures are shown in various poses, some gesturing and others seemingly in conversation. Written script, possibly in an ancient or regional language, accompanies many of the figures, likely identifying or describing them. The document's edges are worn and torn, indicating its age and historical significance.

Anthropic Claude

Created by claude-3-haiku-20240307 on 2024-12-13

The image appears to be an intricate pen-and-ink drawing depicting a large gathering or crowd of people. The image is filled with numerous individual faces and profiles, arranged in rows and groups. The style and execution suggest this is an artwork or illustration from an earlier time period, likely created using traditional drawing techniques. The level of detail in the rendering of the many individual faces is quite impressive. While the image does not identify any specific individuals, it provides a visual representation of a large assembly or gathering of people.

Created by claude-3-5-sonnet-20241022 on 2024-12-13

This appears to be a historical Indian illustration or manuscript page featuring multiple profile portraits arranged in rows. The artwork is done in a traditional style with black ink on what looks like aged paper or parchment. Each figure is drawn in profile view and appears to be male, with distinctive hairstyles typical of historical Indian fashion - most showing tied-back or partially shaved heads. There are Sanskrit or similar script annotations next to many of the portraits. The figures seem to be nobles or important personages given their formal appearance and the careful documentation with text labels. The overall composition creates a grid-like pattern of faces across the page. The drawing style is precise yet economical, focusing on key features like the nose, eyes, and hair to distinguish each individual portrait.

Meta Llama

Created by us.meta.llama3-2-11b-instruct-v1:0 on 2024-12-13

The image is a drawing of a group of people, likely from the 18th or 19th century. The drawing appears to be a page from a book or manuscript, with the edges of the paper torn and worn. * **People:** * There are approximately 60 people depicted in the drawing. * They are all facing to the right, and their faces are turned towards each other. * The people are dressed in traditional Indian clothing, with men wearing turbans and women wearing saris. * Some of the people are holding objects, such as swords or fans. * **Background:** * The background of the drawing is a light brown color. * There are some faint lines and markings on the background, which may be part of the original drawing or added later. * **Writing:** * There is writing in Hindi or another Indian language on the drawing. * The writing is in a script that is similar to Devanagari, but it is not clear what it says. * Some of the writing is in the margins of the drawing, while other parts are scattered throughout the image. * **Condition:** * The drawing is in poor condition. * The paper is torn and worn, with some areas missing or damaged. * The ink has faded in some places, making it difficult to read the writing. * There are also some stains and marks on the paper, which may be from age or handling. Overall, the drawing is a fascinating piece of art that provides insight into the culture and customs of India during the 18th or 19th century. Despite its poor condition, the drawing remains an important historical artifact that can be studied and appreciated by scholars and art enthusiasts alike.

Created by us.meta.llama3-2-90b-instruct-v1:0 on 2024-12-13

The image depicts a piece of aged paper with a drawing of numerous people, all facing to the right. The individuals are drawn in black ink and appear to be wearing traditional Indian clothing. The paper is torn and worn, with visible signs of aging such as discoloration and tears. The background of the paper is a light brown color, which suggests that it may have been made from natural fibers like cotton or linen. Overall, the image appears to be an old illustration or artwork that has been preserved for many years.

Text analysis

Amazon

7n
31
7aoend
aeatea 7n
3a42-1
Enensn
IRA19
a
F
$1972 31
05
4a
Enensn nahs
aeatea
9391 4a
DEAT
neoen
nahs
9391
$1972

Google

बवन
कसन
गोपना
जা
Tidia
ी-
इनारक बवन मা कसन पूरस गोपना बरर। ो ০ जা স এ Tidia ৰ ी-
इनारक
मা
पूरस
बरर।