Photos | First Flicker of Cinema Underneath the Seoul Sky

The vibrant city night of 2024 ushering in cinematic magic with a movie billboard featuring celebrated actors Ahn Jae-hong and Ryu Seung-ryong in the heart of the metropolis. This alluring monolith of light sources from high-tech electronics, symbolizing not just a movie advertisement but the heartbeat of urban Korea.
BLIP-2 Description:
a large billboard with a picture of a movie on itMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture hong rise netflix urban building parnas outdoors clock ahn 공개 outdoor text sky city dior tower billboard scoreboard jae hardware ryu seung-ryong metropolis nature rekognition_c billboards sign electronics screen light monitor office night high korea forever lighting media tv advertisement advertising computer cinema symbol
iso
2500
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T04:04:54.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.16%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-1.61%)
harmonious color
(2.67%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-52.25%)
intrusive object presence
(-6.47%)
lively color
(-2.82%)
low light
(99.85%)
noise
(-4.27%)
pleasant camera tilt
(-8.53%)
pleasant composition
(-54.05%)
pleasant lighting
(-42.85%)
pleasant pattern
(3.05%)
pleasant perspective
(1.83%)
pleasant post processing
(-1.53%)
pleasant reflection
(0.33%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.85%)
tastefully blurred
(-7.75%)
well chosen subject
(-6.46%)
well framed subject
(4.44%)
well timed shot
(2.00%)
all
(-4.05%)
* 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.