Photos | A Communion of Cultures - Journey at the Pagoda

A blend of tradition and modernity exemplified as people stride on the steps of this age-old Korean Pagoda, captured beautifully on the March evening of 2024. Amongst the crowd, we see Guo Zhengtang, surrounded by an atmosphere that brims with life, devotion, and a sense of profound peace. As the sun dips lower, casting long shadows and soft hues, visitors continue their prayers, carrying their luggage and personal stories within the sacred premises. A sight of a wedding further adds a distinct charm, a testament of life's beautiful moments intertwined with spiritual tranquility.
BLIP-2 Description:
people walk on the steps of a building in front of a pagodaMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
1000
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-03-21T22:34:59.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.40%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.15%)
harmonious color
(4.85%)
immersiveness
(2.10%)
interaction
(1.00%)
interesting subject
(58.89%)
intrusive object presence
(-4.66%)
lively color
(-0.09%)
low light
(0.22%)
noise
(-1.37%)
pleasant camera tilt
(-1.80%)
pleasant composition
(-9.05%)
pleasant lighting
(13.84%)
pleasant pattern
(53.22%)
pleasant perspective
(43.12%)
pleasant post processing
(-1.82%)
pleasant reflection
(6.49%)
pleasant symmetry
(14.09%)
sharply focused subject
(0.49%)
tastefully blurred
(-7.78%)
well chosen subject
(17.00%)
well framed subject
(-10.80%)
well timed shot
(7.83%)
all
(13.32%)
* 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-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.