Photos | Serene Solitude by the Lakeside
A tranquil moment by the lake, capturing the perfect harmony between nature and man-made elements. This serene scene taken on a chill December day in 2023, features a meandering stream, towering trees, and even a distant shelter, all under the silent witness of the twilight sky. A hint of the nearby parking lot reminds us of modernity gently trespassing into this wilderness retreat. This magical juxtaposition of the serene outdoors with elements of urban life creates a unique landscape that beckons you to pause and appreciate the beauty of nature.
BLIP-2 Description:
a view of the lake from the shoreChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
december silhouette pine vegetation scenery pond night fir transportation natural outdoor water grass dusk evergreen sky stream environment tree conifer jungle waterfront woodland skyline soil evening daytime car swamp building lake outdoors nature reflection grove random plant rock rainforest landscape horizon vehicle architecture blue creek shelter morning wilderness land
iso
500
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.54
longitude
-119.92
shutter speed
1/60s
camera make
Apple
camera model
overall
(40.65%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-2.91%)
harmonious color
(1.03%)
immersiveness
(5.74%)
interaction
(1.00%)
interesting subject
(-26.07%)
intrusive object presence
(-3.71%)
lively color
(-2.57%)
low light
(89.06%)
noise
(-1.76%)
pleasant camera tilt
(-7.96%)
pleasant composition
(-14.44%)
pleasant lighting
(-46.61%)
pleasant pattern
(6.64%)
pleasant perspective
(-2.71%)
pleasant post processing
(2.72%)
pleasant reflection
(11.37%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.32%)
tastefully blurred
(0.45%)
well chosen subject
(0.03%)
well framed subject
(-10.60%)
well timed shot
(0.93%)
all
(0.08%)
* 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,
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