Photos | Vibrant City Life with a Touch of Nostalgia

The bustling streets of San Francisco come alive with this captivating scene featuring an iconic streetcar in motion. Surrounded by vibrant city life and diverse transportation modes, this image captures the essence of urban exploration and the charming atmosphere of this historical metropolis. Taken at the heart of the city on May 18, 2023, it serves as a reminder of our delightful visit to the nearby Botanical Garden.
BLIP-2 Description:
a street with a train on itMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
path machine able tramway city urban furniture hydrant monti eliabl vehicle car railroad intersection fire dumpling plant utility bicycle transportation accessories garden cord sidewalk window rexall botanical outdoor street drugs chair road 安 traffic building park footwear dntpk streetcar month san power supply bag light rug nery metropolis francisco electrical residential 圖 handbag bus pole irving land town cable area neighborhood shoe
iso
100
metering mode
5
aperture
f/16
focal length
45mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-05-18T15:53:05.844000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.56%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.07%)
harmonious color
(-0.39%)
immersiveness
(2.78%)
interaction
(1.00%)
interesting subject
(-1.25%)
intrusive object presence
(-5.52%)
lively color
(-16.69%)
low light
(1.93%)
noise
(-0.27%)
pleasant camera tilt
(-0.69%)
pleasant composition
(-45.65%)
pleasant lighting
(1.83%)
pleasant pattern
(7.64%)
pleasant perspective
(38.55%)
pleasant post processing
(-2.58%)
pleasant reflection
(-3.02%)
pleasant symmetry
(4.44%)
sharply focused subject
(0.46%)
tastefully blurred
(3.25%)
well chosen subject
(5.10%)
well framed subject
(-38.16%)
well timed shot
(22.20%)
all
(5.43%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0314
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.