Photos | The Journey of Childhood

Captured on March 2024 at the California Academy of Sciences - Rainforest, this poignant moment shows a young boy navigating life's twists and turns, symbolized by the curved walkway. With fascinated faces all around, he confidently leads the way, unafraid of what the future holds. Despite the urban contours and a touch of modernity in the background, the focus remains steadfast on our youthful explorer, reminding us all of the boundless courage and curiosity of childhood.
BLIP-2 Description:
a child walking on a curved walkwayMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
lighting jacket path housing walkway academy rainforest shelter outdoors city urban machine floor play wesley jeans staircase lori child shoe toy sciences accessories handrail bag photography indoors area jewelry street pants road glasses footwear building architecture backpack portrait shorts boy mobile phone railing flooring walking california house hat slide fence electronics necklace coat
iso
3200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-03-03T11:05:32.630000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(45.63%)
curation
(68.39%)
highlight visibility
(5.76%)
behavioral
(70.65%)
failure
(-0.42%)
harmonious color
(2.37%)
immersiveness
(2.10%)
interaction
(1.00%)
interesting subject
(32.79%)
intrusive object presence
(-5.79%)
lively color
(-3.61%)
low light
(12.40%)
noise
(-3.22%)
pleasant camera tilt
(-6.60%)
pleasant composition
(-7.86%)
pleasant lighting
(-28.49%)
pleasant pattern
(11.40%)
pleasant perspective
(18.77%)
pleasant post processing
(7.76%)
pleasant reflection
(-2.75%)
pleasant symmetry
(1.83%)
sharply focused subject
(1.10%)
tastefully blurred
(-5.19%)
well chosen subject
(-21.56%)
well framed subject
(38.40%)
well timed shot
(5.74%)
all
(3.15%)
* 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.