Photos | Midnight Stroll - South Korea, 2024

Featuring Martin Brücker, the iconic urban explorer, this image captures the true essence of the city in the serenity of the night. A bustling neighborhood, warm, wearing daily attire, under the glow of the expressive night sky. With the intimate details of a bustling metropolis, view urban adventuring through the lens of real people. Notice the subtle details - 12 pairs of shoes tracing the urban path, a spectrum of jackets and handbags, glasses glinting under city lights, even a railway terminal in the backdrop, all adding depth and narrative to this phenomenal snapshot taken on the eve of March 21, 2024.
BLIP-2 Description:
a group of people standing on the street at nightMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tarmac lighting jacket path city urban outdoors train glove poster car vehicle jeans intersection sky teen transportation accessories bag sidewalk outdoor street pants road night glasses footwear boy metropolis coat korea pedestrian walking handbag railway terminal martin brücker land advertisement hat nature neighborhood shoe
iso
32000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-03-21T03:55:34.850000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.79%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.51%)
harmonious color
(0.52%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(-15.43%)
intrusive object presence
(-13.62%)
lively color
(-24.22%)
low light
(86.38%)
noise
(-9.11%)
pleasant camera tilt
(-5.29%)
pleasant composition
(-56.49%)
pleasant lighting
(-48.00%)
pleasant pattern
(6.54%)
pleasant perspective
(3.75%)
pleasant post processing
(1.53%)
pleasant reflection
(-1.75%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.29%)
tastefully blurred
(-13.50%)
well chosen subject
(-27.51%)
well framed subject
(-25.59%)
well timed shot
(1.79%)
all
(-6.29%)
* 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.