Photos | Summer Joy in the Park, 2023
The quintessence of summer distilled in a single frame - a magical afternoon at Presidio park, where the innocence of a child's play merges with the serene beauty of nature. Highlighting the nurturing bond between woman and child as they enjoy a playful moment on a vibrant red toy amid lush green grass. Note the timeless charm of the surrounding architecture and urban elements subtly enhancing the beauty of this poignant moment.
BLIP-2 Description:
a woman and child sit on a red toy in the grassChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture villa summer boy pants necklace neighborhood slide urban plant building portrait chair child footwear toy yard ring outdoors transportation area tree condo furniture outdoor presidio jacket house sky shoe city land scarf machine coat glasses nature sunglasses wheel car grass vehicle jewelry backyard accessories lori play housing photography palm wesley lawn cloudy park shelter
iso
100
metering mode
5
aperture
f/7.1
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-07-23T16:06:08.699000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.11%)
curation
(68.74%)
highlight visibility
(5.94%)
behavioral
(90.95%)
failure
(-0.27%)
harmonious color
(3.36%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(9.00%)
intrusive object presence
(-19.34%)
lively color
(-4.37%)
low light
(15.72%)
noise
(-1.10%)
pleasant camera tilt
(-3.97%)
pleasant composition
(-68.51%)
pleasant lighting
(-24.34%)
pleasant pattern
(2.10%)
pleasant perspective
(10.68%)
pleasant post processing
(-2.93%)
pleasant reflection
(1.28%)
pleasant symmetry
(0.42%)
sharply focused subject
(1.34%)
tastefully blurred
(-8.44%)
well chosen subject
(-44.02%)
well framed subject
(31.15%)
well timed shot
(21.14%)
all
(-2.22%)
* 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.