Photos | Radiance of Youth

Captured on a magical day at San Francisco's Pier 15, the joy of childhood dances whimsically under the mesmerizing play of colors. The shot, a part of ‘January Randoms, 2024' portfolio, showcases not just the innocence and happiness of an everyday child, but also the journey of modern art meeting charming architecture in the heart of California. Like a rainbow spreading joy after a shower, this beautiful blend of colors also illuminates the masterpiece of boyhood in the foreground.
BLIP-2 Description:
a child standing in front of a wall with a rainbow lightMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture costume activities door boy pants leisure building wall north portrait food child footwear silhouette beach spider purple invertebrate flooring design ice shoe art dessert randoms shirt cream indoors shorts january interior electronics sneaker modern walking lighting phone photography dress animal floor dancing body part
iso
1600
metering mode
5
aperture
f/1.78
exposure bias
-0.06999999999999999
focal length
7mm
latitude
37.8
longitude
-122.4
shutter speed
1s
camera make
Apple
camera model
date
2024-01-19T15:40:18.201000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(43.36%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.49%)
harmonious color
(3.52%)
immersiveness
(0.95%)
interaction
(2.00%)
interesting subject
(4.49%)
intrusive object presence
(-6.01%)
lively color
(-24.19%)
low light
(63.96%)
noise
(-4.88%)
pleasant camera tilt
(-5.13%)
pleasant composition
(-7.93%)
pleasant lighting
(-31.35%)
pleasant pattern
(7.20%)
pleasant perspective
(4.24%)
pleasant post processing
(4.84%)
pleasant reflection
(0.15%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.49%)
tastefully blurred
(-5.43%)
well chosen subject
(2.73%)
well framed subject
(44.58%)
well timed shot
(15.05%)
all
(1.99%)
* 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.