Photos | Leisure in the Grasslands, 2023
Captured in the heart of the Presidio neighborhood, a man sits comfortably in a red chair amidst a picturesque 100% nature backdrop. He's dressed in simple casuals, his wristwatch reflecting the afternoon sun. The softened clatter of a nearby game of soccer seeping into this tranquil setting. This moment underscores the juxtaposition of quiet introspection in a lively urban park. Tagged as a vibrant slice of life in 2023, this photograph blends furniture, fashion, and nature in a unique composition.
BLIP-2 Description:
a man sitting on a red chairChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture pants neighborhood urban plant building portrait footwear yard outdoors transportation wristwatch hat area tree furniture outdoor presidio campus sky bag shoe land dave shirt glasses ball soccer nature sunglasses car grass vehicle college sport accessories play handbag housing photography football wesley lawn cloudy park
iso
100
metering mode
5
aperture
f/5
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-07-23T16:29:45.077000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.39%)
curation
(69.02%)
highlight visibility
(5.96%)
behavioral
(90.75%)
failure
(-0.10%)
harmonious color
(7.30%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(16.92%)
intrusive object presence
(-13.87%)
lively color
(-3.17%)
low light
(1.68%)
noise
(-1.27%)
pleasant camera tilt
(-2.42%)
pleasant composition
(-50.10%)
pleasant lighting
(-4.82%)
pleasant pattern
(1.56%)
pleasant perspective
(19.63%)
pleasant post processing
(-0.95%)
pleasant reflection
(3.15%)
pleasant symmetry
(0.39%)
sharply focused subject
(1.07%)
tastefully blurred
(-5.94%)
well chosen subject
(-24.95%)
well framed subject
(8.72%)
well timed shot
(27.93%)
all
(4.09%)
* 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.