Photos | Serenading the City: A Symphony Under the Sky

Taken on November 11, 2023, this photograph captures a man, bathed in the soft glow of the tropical sun, standing on a stage in front of the Academy of Sciences. Majestic palm trees and modern architecture set the backdrop as he prepares to serenade the city with his keyboard. With a fence subtly encapsulating the scene, onlookers are immersed in the delightful confluence of music, nature, and urban artistry, while the dichotomy of the rustic bus transportation adds to the charm of the setting.
BLIP-2 Description:
a man is standing on a stage in front of a buildingMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
instrument housing path speaker academy city urban outdoors glove observatory planetarium vehicle staircase sky plant tree utility bicycle transportation sciences handrail outdoor arch november building footwear architecture musical spreckels palm office metropolis dome railing piano terminal bus lavs pole cift house fence keyboard electronics shoe
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-11-11T15:36:44.730000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(52.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.12%)
harmonious color
(5.64%)
immersiveness
(2.00%)
interaction
(1.00%)
interesting subject
(-7.70%)
intrusive object presence
(-4.76%)
lively color
(-3.14%)
low light
(6.54%)
noise
(-0.27%)
pleasant camera tilt
(-2.21%)
pleasant composition
(-22.86%)
pleasant lighting
(-0.08%)
pleasant pattern
(27.64%)
pleasant perspective
(38.67%)
pleasant post processing
(-2.13%)
pleasant reflection
(-0.74%)
pleasant symmetry
(8.79%)
sharply focused subject
(1.88%)
tastefully blurred
(3.04%)
well chosen subject
(-2.61%)
well framed subject
(4.53%)
well timed shot
(-3.54%)
all
(7.16%)
* 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.