Photos | Urban Aesthetics: Art on Alleyways

This evocative shot, captured on 24th February 2024, offers an intriguing view of San Francisco's vibrant urban landscape. The graffiti adorned building paints a picture of the city's invigorating street art culture, framed by a brilliant blue sky. Other subtle elements fall into perspective like the lampposts, foliage, road, and vehicles, contributing to the unique charm of the city. The photograph symbolizes how creativity lurks in every corner, even an ordinary neighborhood intersection.
BLIP-2 Description:
a building with graffiti on the side of itMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture у neighborhood arch urban plant building wall адопт window history outdoors transportation sidewalk area lone road outdoor intersection sky tarmac city traffic pole foliage land street bird document randoms path mountain bus february car vehicle alley light tited utility stop lamppost animal residential ciates cloudy sale shelter
iso
64
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.78
longitude
-122.45
shutter speed
1/2110s
camera make
Apple
camera model
date
2024-02-24T16:54:24.896000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(36.89%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.29%)
harmonious color
(4.77%)
immersiveness
(0.76%)
interaction
(2.00%)
interesting subject
(-59.23%)
intrusive object presence
(-11.94%)
lively color
(15.47%)
low light
(0.85%)
noise
(-3.71%)
pleasant camera tilt
(-5.01%)
pleasant composition
(-42.85%)
pleasant lighting
(17.15%)
pleasant pattern
(4.17%)
pleasant perspective
(17.68%)
pleasant post processing
(1.22%)
pleasant reflection
(-1.93%)
pleasant symmetry
(0.61%)
sharply focused subject
(1.49%)
tastefully blurred
(3.35%)
well chosen subject
(-0.63%)
well framed subject
(-15.26%)
well timed shot
(3.23%)
all
(4.66%)
* 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.