Photos | Protect and Serve
Rick Genest stands in front of a vibrant painted sign encouraging protection and service in Detroit, Michigan. The eclectic mix of electronics, hardware, and art create a unique urban backdrop for the sign's message.
BLIP-2 Description:
a sign on the wall that says to protect and serveMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Location:
party computer twang dat mi travel 翠 art united painting bickett rick genest text dining pass sticker tv weapon michigan iphone fall dinner collage cross trip symbol machine screen advertisement animal gun concert dog building mural game detroit swerve performance health protect continental ave mental november entertainment monitor pet mammal corktown hardware outlaw wall arcade willoughey rickett beach 沿 states swewe electronics poster canine apple par architecture 醬 sign day
Detected Text
iso
800
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
(29.05%)
curation
(75.00%)
highlight visibility
(6.26%)
behavioral
(70.49%)
failure
(-0.37%)
harmonious color
(-0.01%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-48.00%)
intrusive object presence
(-4.05%)
lively color
(-10.95%)
low light
(22.36%)
noise
(-7.23%)
pleasant camera tilt
(-10.18%)
pleasant composition
(-22.61%)
pleasant lighting
(-29.76%)
pleasant pattern
(4.57%)
pleasant perspective
(-0.34%)
pleasant post processing
(1.29%)
pleasant reflection
(1.81%)
pleasant symmetry
(0.61%)
sharply focused subject
(1.03%)
tastefully blurred
(0.59%)
well chosen subject
(-17.49%)
well framed subject
(30.86%)
well timed shot
(1.77%)
all
(-2.17%)
* 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.