Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Numbers and Symbols on Rusty Metal Sign

Numbers and Symbols on Rusty Metal Sign

Caption

This circuit board-like machine hardware sign showcases a mix of symbols, numbers, and text amid corrosion and rust in Los Angeles.

BLIP-2 Description:

a large metal sign with numbers and letters

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Metadata

Capture date:

Sunday, May 24th, 2015 at 5:45:42 PM

Original Dimensions:

2448w x 3264h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Los Angeles, California, United States (34.05,-118.25)

Tags

board rust text sphere electronics corrosion circuit number machine hardware symbol

Detected Text

Albums

Photo Archive/2015 Photos

Places

Downtown Jewelry District Continental United States Greater Los Angeles Area International Border States (Southwest) Los Angeles County Santa Clarita Valley Southern California Southwest Sun Belt Tech Coast West Coast

Venues

EXIF Data:

iso

32

metering mode

5

aperture

f/2.2

focal length

4mm

latitude

34.05

longitude

-118.25

shutter speed

1/60s

camera make

Apple

camera model

lens model

iPhone 6 back camera 4.15mm f/2.2

date

2015-05-24T17:45:42.178000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (48.54%)

curation (50.00%)

highlight visibility (2.44%)

behavioral (70.23%)

failure (-0.12%)

harmonious color (7.20%)

immersiveness (0.22%)

interaction (1.00%)

interesting subject (-46.31%)

intrusive object presence (-1.17%)

lively color (9.61%)

low light (35.69%)

noise (-2.39%)

pleasant camera tilt (-3.11%)

pleasant composition (-12.07%)

pleasant lighting (22.95%)

pleasant pattern (14.58%)

pleasant perspective (26.32%)

pleasant post processing (6.14%)

pleasant reflection (0.60%)

pleasant symmetry (0.81%)

sharply focused subject (9.23%)

tastefully blurred (-2.41%)

well chosen subject (-4.93%)

well framed subject (30.20%)

well timed shot (5.54%)

all (10.28%)

* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301 from OpenAI) based on a BLIP-2 image-to-text labeling, tags, location, people and album metadata from the image and are potentially inaccurate, often hilariously so. If you'd like me to adjust anything, just reach out.