Photos | Korean Traditions in a Modern Setting
Kim Yoon-ok and Yvonne Li walking in traditional gown amidst a bustling cityscape. Showcasing their elegant dresses against the backdrop of cloud-draped skyscrapers, the timeless beauty of Korean culture is vibrantly alive in this frame, captured on 21st March 2024. It's a harmony of the old and the new, where tradition meets innovation.
BLIP-2 Description:
people in traditional dress are walking in a courtyardMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban crane dress purse glasses portrait outdoor costume eek skirt formal footwear bag bride path jacket sky container city evening fashion yvonne li building korea skyscraper wedding shoe handbag outdoors kim yoon-ok construction cloudy gown coat office metropolis suit architecture wear overcoat accessories photography walking walkway shelter luggage crowd
iso
400
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(31.93%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(90.74%)
failure
(-0.49%)
harmonious color
(0.09%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(-32.64%)
intrusive object presence
(-11.11%)
lively color
(-7.42%)
low light
(4.03%)
noise
(-1.76%)
pleasant camera tilt
(-7.84%)
pleasant composition
(-72.85%)
pleasant lighting
(-22.05%)
pleasant pattern
(7.32%)
pleasant perspective
(8.93%)
pleasant post processing
(-3.48%)
pleasant reflection
(-1.55%)
pleasant symmetry
(1.29%)
sharply focused subject
(0.32%)
tastefully blurred
(-4.17%)
well chosen subject
(-7.39%)
well framed subject
(-55.91%)
well timed shot
(2.57%)
all
(-4.01%)
* 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.