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 walkwayChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture jeans boy pants necklace slide handrail urban building fence portrait mobile child footwear toy railing rainforest outdoors hat area walkway road jacket house flooring shoe city bag street machine academy coat glasses indoors shorts path electronics backpack jewelry sciences accessories lori play walking housing lighting phone photography wesley california staircase floor shelter
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.