Photos | Summertime Serenity in the Park
Captured in the heart of summer on July 22, 2023, at the California Academy of Sciences park, a woman finds tranquility in motherhood. Clad in casual clothes and a baseball cap, she cradles her baby amidst the natural scenery. A mix of technology adds a contemporary touch to this timeless scene, conveying the blend of modern and classic elements of life. This image represents a perfect moment of solace, showcasing the sanctuary that parks provide in our bustling lives, making it a perfect fit for a leisurely picnic or simply spending a day in the company of nature and loved ones.
BLIP-2 Description:
a woman is holding a baby while sitting in a parkMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
box phone vegetation jeans portrait child sciences baby outdoor mobile grass bag leisure park jacket activities tree container woodland academy picnic lawn reading electronics outdoors handbag glove nature coat pants plant grove tent land baseball hat sport wesley fun accessories photography headgear sitting luggage cap california
Detected Text
iso
125
metering mode
5
aperture
f/3.5
focal length
28mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(21.59%)
curation
(65.67%)
highlight visibility
(5.71%)
behavioral
(90.87%)
failure
(-1.32%)
harmonious color
(0.97%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-76.03%)
intrusive object presence
(-22.02%)
lively color
(-10.34%)
low light
(8.52%)
noise
(-3.22%)
pleasant camera tilt
(-2.85%)
pleasant composition
(-83.30%)
pleasant lighting
(-38.79%)
pleasant pattern
(0.88%)
pleasant perspective
(-12.49%)
pleasant post processing
(-2.29%)
pleasant reflection
(1.89%)
pleasant symmetry
(0.17%)
sharply focused subject
(1.22%)
tastefully blurred
(-12.95%)
well chosen subject
(-22.23%)
well framed subject
(-23.52%)
well timed shot
(-12.52%)
all
(-10.48%)
* 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.