Human Generated Data

Title

[View from Feininger's apartment window, New York]

Date

1949-1950s

People

Artist: Lyonel Feininger, American 1871 - 1956

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.510.27

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Human Generated Data

Title

[View from Feininger's apartment window, New York]

People

Artist: Lyonel Feininger, American 1871 - 1956

Date

1949-1950s

Classification

Photographs

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of T. Lux Feininger, BRLF.510.27

Copyright

© Artists Rights Society (ARS), New York / VG Bild-Kunst, Bonn

Machine Generated Data

Tags

Amazon
created on 2019-11-19

Transportation 84.8
Vehicle 84.8
Train 84.8
Building 82.1
Banister 76.6
Handrail 76.6
Furniture 75.2
Person 75
Human 75
Machine 61.1
Wheel 61.1
Urban 59.4
Appliance 57.8
Dishwasher 57.8
Automobile 57.6
Sports Car 57.6
Coupe 57.6
Car 57.6

Clarifai
created on 2019-11-19

technology 97
vehicle 96.8
transportation system 96.7
industry 96.3
monochrome 95.8
no person 95.5
people 94.1
business 93.5
street 92.4
computer 91.2
traffic 90.7
wire 90.2
connection 89.9
bedrock 89.4
switch 86
analogue 85.2
infrastructure 83.3
rack 82
car 81.9
science 81.4

Imagga
created on 2019-11-19

negative 58.8
film 50.5
photographic paper 38.3
building 27.6
center 27.4
architecture 26.2
photographic equipment 25.5
business 22.5
city 22.4
urban 21.8
equipment 20.6
modern 20.3
technology 17.8
electronic equipment 17.5
industry 17.1
steel 16.8
structure 15.7
office 14.8
financial 14.2
device 13.7
interior 13.3
metal 12.9
server 12.7
support 12.2
station 12.1
construction 12
data 11.9
finance 11.8
industrial 11.8
light 11.4
inside 11
power 10.9
glass 10.9
folder 10.7
room 10.5
new 10.5
engineering 10.5
buildings 10.4
showing 10.3
machine 10.1
design 10.1
register 9.9
transportation 9.9
science 9.8
old 9.7
factory 9.6
display 9.5
tech 9.5
work 9.4
card 9.3
network 9.3
bank 9
computer 8.9
oscilloscope 8.9
information 8.9
system 8.6
line 8.6
word 8.5
travel 8.4
economy 8.3
transport 8.2
monitor 8.2
landmark 8.1
digital 8.1
step 8.1
rack 7.9
high 7.8
empty 7.7
radio 7.6
storage 7.6
window 7.5
street 7.4
security 7.3
success 7.2
road 7.2
market 7.1

Google
created on 2019-11-19

Microsoft
created on 2019-11-19

indoor 99.7
window 93.8
building 93.6
text 93.2
open 80.3
skyscraper 76
black and white 70.9
shelf 67.6
house 50.6

Color Analysis

Feature analysis

Amazon

Train
Person
Train 84.8%
Person 75%

Categories

Captions

Google Gemini

Created by gemini-2.0-flash on 2025-05-12

The image is a black and white photograph taken through a window. The window frame is prominent and divides the scene into multiple panes. Through the window, there is a street scene with buildings and people. Cars are parked along the street. The photograph appears to be taken from a high vantage point, looking down on the scene below. The image has an overall vintage or documentary feel.

Created by gemini-2.0-flash-lite on 2025-05-12

Certainly! Here's a description of the image:

Overall Impression

The image is a black and white, negative photograph, likely taken through a window. The subject is a street scene, viewed from an elevated perspective.

Key Features and Details

  • Window: The prominent feature is the window through which the scene is framed. The window frame creates a series of white lines that segment the image.
  • Street Scene: The primary subject is the street below, with buildings lining the street.
  • Cars and People: There are several cars parked along the street, and a group of people are visible, potentially gathered in front of a building.
  • Buildings: The buildings are tall and appear to be older style townhouses or apartment buildings.
  • Perspective: The vantage point is from a window, looking down at the street and the buildings across from the viewer.
  • Negative Effect: The negative process inverts the light and dark values, so bright areas are dark and dark areas are bright.

Let me know if you want any specific part of the image examined further!

Text analysis

Google

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