Photos | Tranquil Moments by the Riverside
On a serene autumn morning, father and son sit by the peaceful creek, deep in the heart of Big Sur. Their hats, remnants of a hiking adventure, are witnesses to their shared love for the wilderness. Dressed in warm jackets, they are embraced by the vibrant green foliage and the soothing sound of cascading water. Dating back to the 29th of October 2023, this photo embodies the essence of family bonding in the lap of nature.
BLIP-2 Description:
a man and a child sitting in a chair near a riverChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tree trunk activities headgear fishing pants rock plant soil hiking wilderness portrait baseball leisure footwear environment cap rocks outdoors rainforest hat gravel tree slate creek leaf furniture jacket outdoor road wood shoe rubble stream land sur forest bench sitting jungle sun scenery grove coat glasses water nature accessories adventure woodland big beanie photography natural waterways vegetation
iso
200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2023-10-29T08:45:56.380000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.93%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.15%)
harmonious color
(1.83%)
immersiveness
(0.59%)
interaction
(2.00%)
interesting subject
(-3.76%)
intrusive object presence
(-4.59%)
lively color
(-1.20%)
low light
(0.49%)
noise
(-1.59%)
pleasant camera tilt
(-4.90%)
pleasant composition
(-39.97%)
pleasant lighting
(-4.87%)
pleasant pattern
(1.71%)
pleasant perspective
(11.47%)
pleasant post processing
(-0.97%)
pleasant reflection
(-3.29%)
pleasant symmetry
(0.34%)
sharply focused subject
(4.08%)
tastefully blurred
(29.30%)
well chosen subject
(10.99%)
well framed subject
(28.69%)
well timed shot
(25.66%)
all
(4.85%)
* 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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