Photos | Captivating Urban Dynamics
Huda Kattan navigating through the heart of Korea in 2024. Real and digital worlds intersect, as a high-heeled woman not only dominates a colossal city screen but also the attention of passersby. The blue sky overhead contrasts the metropolitan hustle, adding tranquility to the vibrant downtown scene.
BLIP-2 Description:
a woman walks past a large screen showing a woman in a high heelMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
advertisement urban street projection transportation outdoor eek footwear metropolitan bag rise path sky tv city billboards car hardware sidewalk building korea skyscraper heel sign electronics shoe handbag glove intersection outdoors huda kattan office area downtown metropolis screen road cinema vehicle high architecture blue bus accessories monitor computer billboard
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(52.00%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.61%)
harmonious color
(10.02%)
immersiveness
(6.35%)
interaction
(1.00%)
interesting subject
(-33.64%)
intrusive object presence
(-3.49%)
lively color
(-4.09%)
low light
(75.63%)
noise
(-1.03%)
pleasant camera tilt
(-5.49%)
pleasant composition
(-35.45%)
pleasant lighting
(-22.47%)
pleasant pattern
(7.54%)
pleasant perspective
(26.32%)
pleasant post processing
(7.75%)
pleasant reflection
(-1.51%)
pleasant symmetry
(3.32%)
sharply focused subject
(0.42%)
tastefully blurred
(-9.18%)
well chosen subject
(4.61%)
well framed subject
(-28.98%)
well timed shot
(5.56%)
all
(4.58%)
* 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.