Photos | Urban Symphony: The Cable Car Chronicles

Capturing the heartbeat of the city on a cloudy afternoon - a classic cable car marks its journey through the lively, bustling streets. Immerse yourself in this symphony of urban life, where 26 vibrant souls, a medley of accessories and everyday city sights come together to paint an authentic portrait of downtown living. Notice the subtle mix of transportation modes, from cars to buses and even the humble footsteps of pedestrians. This is more than a street - it's the rhythm of urban life.
BLIP-2 Description:
a cable car on a street in a cityMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
neighborhood urban building municipal window cable footwear standforasion transportation sidewalk hat area crosswalk road outdoor furniture intersection teller sky tarmac city francisco shoe traffic land fortune street bench ภักดิ์ machine วิชา glasses chinatown metropolis path bus san vehicle justice car light accessories railway downtown vicha town ร้อน streetcar cloudy railroad tramway
Detected Text
iso
125
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-26T16:23:09.440000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(42.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.22%)
harmonious color
(2.06%)
immersiveness
(2.20%)
interaction
(1.00%)
interesting subject
(-53.56%)
intrusive object presence
(-4.39%)
lively color
(-15.41%)
low light
(7.35%)
noise
(-0.93%)
pleasant camera tilt
(-8.82%)
pleasant composition
(-45.09%)
pleasant lighting
(-13.96%)
pleasant pattern
(11.87%)
pleasant perspective
(25.22%)
pleasant post processing
(3.26%)
pleasant reflection
(-1.33%)
pleasant symmetry
(3.91%)
sharply focused subject
(0.51%)
tastefully blurred
(2.30%)
well chosen subject
(6.55%)
well framed subject
(-27.93%)
well timed shot
(-3.60%)
all
(1.41%)
* 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.