Photos | Urban Bloom: Graffiti and Gardens Intertwined

Captured during my San Francisco Adventure on the 23rd July 2023, this beautiful graffiti on a wooden fence stands as a testament to the vibrant fusion of cityscape and nature in the neighborhood. Colorful flowers blooming diligently in the foreground contrast with the urban backdrop, creating a visually stunning symphony of textures and colors. Marvel at how art can graphically interweave with organic elements, manifesting an intriguing instance where man-made cultural expressions harmoniously coincide with the serenity of nature.
BLIP-2 Description:
a graffiti sign on a wooden fence with flowers in the foregroundMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture herbal summer neighborhood urban plant building flower outdoors transportation roof area tree slate leaf outdoor house text sky city francisco foliage ivy scenery herbs metropolis shrub cityscape nature cross san car vehicle adventure office housing garden residential daisy cloudy monastery symbol vegetation
iso
100
metering mode
5
aperture
f/7.1
focal length
28mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2023-07-23T17:04:33.222000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(53.37%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.45%)
failure
(-0.15%)
harmonious color
(8.72%)
immersiveness
(1.44%)
interaction
(1.00%)
interesting subject
(-37.94%)
intrusive object presence
(-4.79%)
lively color
(-0.11%)
low light
(0.51%)
noise
(-1.44%)
pleasant camera tilt
(-4.29%)
pleasant composition
(-17.22%)
pleasant lighting
(23.61%)
pleasant pattern
(3.88%)
pleasant perspective
(28.42%)
pleasant post processing
(0.92%)
pleasant reflection
(2.34%)
pleasant symmetry
(0.68%)
sharply focused subject
(2.17%)
tastefully blurred
(2.16%)
well chosen subject
(-9.14%)
well framed subject
(-6.27%)
well timed shot
(0.60%)
all
(8.58%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.