Photos | Musical Inspiration on the Wall
Rick Genest finds artistic and musical inspiration from a guitar and a poster that adorn the textured wall of a building in Detroit, Michigan. The mural and painting add to the eclectic mix of designs and motifs that make this indoor space a haven for creativity and passion.
BLIP-2 Description:
a wall with a guitar and a poster on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
gun instrument thrail blackboard flooring rick genest party music glasses wall musician twang mental © leisure drifte pass mural activities musical corktown gl floor building willoughby performer sign electric guitar protect string day painting health rickett guitarist collage beach guitar outlaw architecture weapon accessories indoors swerve art
Detected Text
iso
500
metering mode
3
aperture
f/2.2
focal length
4mm
latitude
42.33
longitude
-83.06
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(27.71%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.27%)
failure
(-0.32%)
harmonious color
(-3.04%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-68.41%)
intrusive object presence
(-4.64%)
lively color
(-2.60%)
low light
(16.21%)
noise
(-5.57%)
pleasant camera tilt
(-8.51%)
pleasant composition
(-33.59%)
pleasant lighting
(-20.18%)
pleasant pattern
(4.88%)
pleasant perspective
(2.29%)
pleasant post processing
(-1.60%)
pleasant reflection
(-4.27%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.78%)
tastefully blurred
(-0.46%)
well chosen subject
(-12.40%)
well framed subject
(16.33%)
well timed shot
(0.35%)
all
(-2.41%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.