Photos | Vibrant Pulse of Chinatown

A lively scene from Chinatown in 2023, buzzing with pedestrians, local businesses, vivid city lights and the everyday rhythm of urban life. The blend of cultures and colors, intriguing walkways, and bustling transportation create a vivid tapestry of city life. The flurry of shoes, handbags, hats, and electronics is a testament to the cosmopolitan flavor and night life of this vibrant neighborhood.
BLIP-2 Description:
a street with a lot of peopleMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
漢 shanghai hydrant neighborhood urban 銀行 building window mobile footwear lane pedestrian way transportation sidewalk hat lamp walkway area restaurant road outdoor heart one intersection sky traffic city bag shoe land street fire machine 海鲜 storefront bow 花 glasses chinatown metropolis path vatown life rekognition_c wan electronics sign car vehicle backpack lantern light 寶 accessories eafood 旗 night downtown town washi automobile phone lamppost 館 hon inc handbag kee symbol
Detected Text
iso
2500
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-26T16:58:43.640000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(42.09%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.20%)
harmonious color
(0.19%)
immersiveness
(3.13%)
interaction
(1.00%)
interesting subject
(-59.42%)
intrusive object presence
(-5.25%)
lively color
(-12.81%)
low light
(7.30%)
noise
(-0.56%)
pleasant camera tilt
(-9.53%)
pleasant composition
(-78.86%)
pleasant lighting
(-24.51%)
pleasant pattern
(7.93%)
pleasant perspective
(10.63%)
pleasant post processing
(0.41%)
pleasant reflection
(-0.20%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.29%)
tastefully blurred
(0.53%)
well chosen subject
(8.54%)
well framed subject
(-65.19%)
well timed shot
(0.57%)
all
(-2.93%)
* 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.