Photos | Graffiti and Style
Lori S strikes a pose in front of a colorful graffiti wall, showcasing her unique clothing and accessories in Los Angeles, California. #Art #Clothing #Graffiti #Accessories #Photography #People #Jeans #Handbag #Wristwatch
BLIP-2 Description:
a woman standing in front of a graffiti covered wallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture sleeve jeans pants lori s wall graffiti building portrait prince footwear arts transportation wristwatch never girl purse mural tokyo bag shoe street art bitter guess shirt glasses teen long district rekognition_c car vehicle drawing accessories blouse civic center photography smile happy stories handbag painting little
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.24
shutter speed
1/322s
camera make
Apple
camera model
lens model
date
2017-06-21T19:03:07.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.63%)
curation
(70.00%)
highlight visibility
(5.88%)
behavioral
(70.69%)
failure
(-0.22%)
harmonious color
(-0.63%)
immersiveness
(0.44%)
interaction
(8.00%)
interesting subject
(25.78%)
intrusive object presence
(-1.88%)
lively color
(1.86%)
low light
(15.01%)
noise
(-3.59%)
pleasant camera tilt
(-0.83%)
pleasant composition
(-2.36%)
pleasant lighting
(-13.79%)
pleasant pattern
(3.61%)
pleasant perspective
(8.37%)
pleasant post processing
(0.03%)
pleasant reflection
(4.39%)
pleasant symmetry
(0.98%)
sharply focused subject
(3.17%)
tastefully blurred
(-12.05%)
well chosen subject
(-21.66%)
well framed subject
(57.62%)
well timed shot
(12.01%)
all
(4.38%)
* 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.