Photos | Stylish Frames and Joyful Memories
In the delightful radiance of summer, amidst the tranquillity of nature and the charm of architecture, a man and a woman celebrate Wesley's First Birthday. Bearing smiles as vibrant as the art of living, they hold up a red frame capturing not just people but precious moments in its circumference. Like their elegant attire, the frame symbolizes life painted in the hues of joy and love.
BLIP-2 Description:
a man and woman holding a red frameChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture costume summer first pants plant building soil baseball portrait chair flower footwear cap yard decorative arrangement outdoors flagstone hat jar walkway tree patio furniture house planter balloon party shoe sandal pottery art bench sitting birthday shirt oxnard glasses dining shorts path nature sphere sunglasses etch grass vegetation skirt vase table accessories backyard blouse sketch couch housing potted garden photography dress wesley park shelter
iso
100
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-08-12T16:18:02.999000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.83%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.05%)
harmonious color
(8.97%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(39.11%)
intrusive object presence
(-17.48%)
lively color
(31.08%)
low light
(2.81%)
noise
(-0.90%)
pleasant camera tilt
(-3.12%)
pleasant composition
(-26.81%)
pleasant lighting
(1.21%)
pleasant pattern
(6.84%)
pleasant perspective
(27.81%)
pleasant post processing
(0.78%)
pleasant reflection
(0.77%)
pleasant symmetry
(2.03%)
sharply focused subject
(5.03%)
tastefully blurred
(1.47%)
well chosen subject
(-21.24%)
well framed subject
(44.12%)
well timed shot
(18.75%)
all
(9.05%)
* 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.