Photos | Basking in Nature's Bliss
Capturing a heartwarming moment on July 23, 2023, as a man and woman take the time to soak in the scenic beauty of the Presidio. Enjoying each other's company on a vibrant red inflatable, their shared smile competes with the cerulean sky overhead. Nestled among sunny expanses of grass and lush tree groves, they exemplify the tranquillity that can only be found in nature's embrace. Cheerful cumulus clouds lazily drift by, matching the carefree mood of the day. The urban hustle, represented by distant silhouettes of houses, cars, and office buildings, fades into insignificance against this pristine portrait of togetherness.
BLIP-2 Description:
a man and a woman are sitting on a red inflatableMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
ring glasses transportation outdoor presidio house dave sunlight footwear hugging grass 脂 sun bag sky tree cloud weather housing daytime 司 田 car jewelry lawn building outdoors cumulus shoe handbag nature campus cloudy neighborhood office plant vehicle architecture baseball blue hat accessories photography morning cap part land
iso
100
metering mode
5
aperture
f/13
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(39.09%)
curation
(65.00%)
highlight visibility
(5.65%)
behavioral
(90.73%)
failure
(-0.51%)
harmonious color
(4.81%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-60.11%)
intrusive object presence
(-11.79%)
lively color
(-15.86%)
low light
(57.71%)
noise
(-0.93%)
pleasant camera tilt
(-8.94%)
pleasant composition
(-70.21%)
pleasant lighting
(-55.52%)
pleasant pattern
(2.51%)
pleasant perspective
(6.27%)
pleasant post processing
(0.97%)
pleasant reflection
(-1.64%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-5.16%)
well chosen subject
(1.11%)
well framed subject
(-50.73%)
well timed shot
(12.62%)
all
(-5.13%)
* 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.