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 itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
hydrant neighborhood urban plant building window drugs footwear chair cable power transportation sidewalk irving area road outdoor rug rexall furniture intersection traffic 圖 francisco bag shoe land botanical street city pole fire machine 安 electrical dntpk bicycle metropolis path bus cord san vehicle nery car light accessories utility handbag town month dumpling monti streetcar garden residential eliabl able supply park railroad tramway
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,
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