Photos | Journey Down the Road Less Traveled
A delightful moment captured as a young adventurer boldly takes on the pavement with his skateboard in the scenic Presidio forest. This youthful exploration, painted beautifully with vibrant colors of nature, conveys a blend of urban life and the great outdoors that resonates with the spirit of San Francisco. Can't forget about safety; check out his trendy headgear too! Adventure ensued during our first camping trip in Presidio, providing memories that will endure. Time stamp: 2023-09-26.
BLIP-2 Description:
a small child riding a skateboard down a paved roadChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban street recreation vegetation portrait child outdoor presidio trip footwear grass running path green foliage park jacket shorts tree jungle woodland city soil forest sidewalk building outdoors asphalt shoe tarmac nature trail coat alley boy helmet first grove plant rainforest pants rock camping road architecture hat summer hood shrub photography headgear walking shelter cap land
iso
640
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
37.8
longitude
-122.48
shutter speed
1/36s
camera make
Apple
camera model
overall
(34.99%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-1.46%)
harmonious color
(-0.55%)
immersiveness
(4.76%)
interaction
(1.00%)
interesting subject
(-22.27%)
intrusive object presence
(-5.18%)
lively color
(22.34%)
low light
(2.93%)
noise
(-3.47%)
pleasant camera tilt
(-4.87%)
pleasant composition
(-11.04%)
pleasant lighting
(-16.69%)
pleasant pattern
(5.10%)
pleasant perspective
(0.86%)
pleasant post processing
(1.80%)
pleasant reflection
(-2.34%)
pleasant symmetry
(0.37%)
sharply focused subject
(3.20%)
tastefully blurred
(-3.22%)
well chosen subject
(9.83%)
well framed subject
(22.42%)
well timed shot
(4.83%)
all
(3.59%)
* 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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