Photos | A Stroll through Chinatown

Captured on November 26, 2023, this vivid city scene presents Lori S. and Michaela taking a casual stroll through the lively streets of Chinatown. Amid the hustle and bustle of urban life, the pair navigates the crosswalk with a toddler nestled safely in a stroller. This image paints a picture of city life enriched with details from motorcycle and car traffic to pedestrians crossing the busy streets, all under the watch of glowing traffic lights.
BLIP-2 Description:
a woman pushing a stroller with a child in a strollerMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
jeans pants neighborhood urban building footwear baby lant pedestrian transportation sidewalk hat wristwatch crosswalk left road outdoor intersection traffic tarmac shoe city bag land anita street glove machine ireasure manhole coat glasses chinatown metropolis path helmet oriental sign car vehicle light accessories lori walking automobile stroller michaela handbag motorcycle box symbol
iso
200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-26T16:26:00.920000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(46.09%)
curation
(68.74%)
highlight visibility
(5.94%)
behavioral
(90.72%)
failure
(-0.29%)
harmonious color
(-0.72%)
immersiveness
(0.44%)
interaction
(2.00%)
interesting subject
(27.34%)
intrusive object presence
(-10.74%)
lively color
(-11.61%)
low light
(54.59%)
noise
(-3.42%)
pleasant camera tilt
(-5.74%)
pleasant composition
(-49.98%)
pleasant lighting
(-21.36%)
pleasant pattern
(3.83%)
pleasant perspective
(10.11%)
pleasant post processing
(-1.44%)
pleasant reflection
(0.31%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.61%)
tastefully blurred
(-12.30%)
well chosen subject
(-38.33%)
well framed subject
(20.76%)
well timed shot
(19.76%)
all
(-0.73%)
* 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.