Photos | Summer Afternoons in the Heart of Presidio - 2023
A relaxing afternoon unfolds as people gather on the lush grasslands in front of a classic building in the historical Presidio neighbourhood. The day is marked by the fluttering palm trees, blue sky dotted with clouds, and vibrant expressions of the community. Whether they are engrossed in a thrilling volleyball game or simply lounging with handbags and hats in the refreshing outdoors, everyone is basking in the joy of a perfect summer day. A true hallmark of the quintessential urban oasis, mixing nature, city, and architecture.
BLIP-2 Description:
people sit on the grass in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture summer neighborhood plant building chair footwear environment outdoors transportation hat tree field furniture outdoor presidio volleyball sky bag shoe city land cloudy bird grassland glasses (ball) ball nature car grass vehicle sport accessories lori couch natural palm animal wesley lawn handbag park shelter
iso
100
metering mode
5
aperture
f/10
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-07-23T16:24:07.455000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.15%)
curation
(67.50%)
highlight visibility
(5.69%)
behavioral
(70.66%)
failure
(-0.12%)
harmonious color
(11.79%)
immersiveness
(1.12%)
interaction
(1.00%)
interesting subject
(-21.81%)
intrusive object presence
(-9.81%)
lively color
(3.56%)
low light
(0.93%)
noise
(-0.51%)
pleasant camera tilt
(-7.49%)
pleasant composition
(-56.30%)
pleasant lighting
(23.01%)
pleasant pattern
(1.93%)
pleasant perspective
(20.56%)
pleasant post processing
(6.45%)
pleasant reflection
(2.91%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.56%)
tastefully blurred
(-5.90%)
well chosen subject
(6.95%)
well framed subject
(-55.71%)
well timed shot
(21.04%)
all
(8.04%)
* 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.