Photos | Dusk over the River: A Confluence of Nature and Urbanity

Captured on a crisp December evening in 2023, this photo encapsulates the serene view of a river at dusk from a city bridge. Highlighting the stunning interplay between nature's vast canvas - marked by trees, a path, vegetation, and water - and the mechanical world of transportation, roads, and buildings, this image is a testament to harmonious cohabitation. The dimming twilight adds to the visual symphony, enhancing the beauty of the waterfront and offering a touch of tranquility amid urban clamor.
BLIP-2 Description:
a view of the river from a bridge at duskMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture december conifer lakefront urban plant building wilderness outdoors transportation sidewalk reflection pond tree road outdoor sky landscape city pine shelter land street canal evergreen scenery grove water waterfront winter path nature lake car grass vehicle fir woodland random park vegetation
iso
1250
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.54
longitude
-119.92
shutter speed
1/45s
camera make
Apple
camera model
date
2023-12-28T17:11:16.788000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(40.23%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-3.61%)
harmonious color
(3.19%)
immersiveness
(13.06%)
interaction
(1.00%)
interesting subject
(-43.07%)
intrusive object presence
(-5.32%)
lively color
(3.53%)
low light
(70.12%)
noise
(-2.22%)
pleasant camera tilt
(-7.92%)
pleasant composition
(-8.71%)
pleasant lighting
(-44.48%)
pleasant pattern
(7.03%)
pleasant perspective
(3.38%)
pleasant post processing
(-1.54%)
pleasant reflection
(8.18%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.22%)
tastefully blurred
(-3.83%)
well chosen subject
(4.23%)
well framed subject
(-5.34%)
well timed shot
(-6.57%)
all
(1.08%)
* 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.