Photos | Busy Market Scene in China Town
Huh Young-Sook, Siti Hasmah Mohamad Ali, and Sinta Nuriyah join the crowds of locals and tourists in a bustling market filled with colorful produce, accessories, and other goods.
BLIP-2 Description:
a group of people in a market areaChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
ali room container sinta nuriyah hardware car screen vehicle lamp market 小姐 supermarket hasmah vegetable fashion transportation deli convenience marketplace indoors bag accessories sign electronics 星島 interior shop outdoor 親善 shelf plate glasses building footwear produce huh young-sook food chinaown monitor shop siti interior store grocery computer 阿 handbag eecue bazaar hat mohamad cable shoe
iso
100
metering mode
5
aperture
f/8
exposure bias
-2
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2007-01-16T13:25:45-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.52%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-2.10%)
harmonious color
(-0.70%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-71.88%)
intrusive object presence
(-9.23%)
lively color
(-20.24%)
low light
(98.73%)
noise
(-9.16%)
pleasant camera tilt
(-15.95%)
pleasant composition
(-83.15%)
pleasant lighting
(-61.72%)
pleasant pattern
(5.52%)
pleasant perspective
(-2.17%)
pleasant post processing
(1.88%)
pleasant reflection
(-6.13%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.10%)
tastefully blurred
(-31.45%)
well chosen subject
(5.91%)
well framed subject
(-65.77%)
well timed shot
(-5.29%)
all
(-10.91%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
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.