Photos | Childhood Adventure at the Lawrence Hall of Science
A moment frozen in time on March 2, 2024. A young boy takes in the immense knowledge around him at the Lawrence Hall of Science. The yellow and black patterned floor beneath him symbolizes the caution and curiosity he exercises in his exploration. Amidst the vibrant chaos of scientific discovery, he stands resilient and full of wonder, exemplifying the spirit of future scientists. Notice the ambiguity of his surroundings hinting at technology, transportation, and architecture - sectors where his curiosity might lead him tomorrow.
BLIP-2 Description:
a young boy is standing on a yellow and black floorMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
wheel recreation flooring wood hospital portrait child transportation science eek sneaker footwear hall tire interior shorts tv shelf floor plywood car hardware device table building electronics shoe desk coat boy play microphone alloy pants indoors spoke handrail screen hardwood vehicle standing architecture machine design wesley furniture photography monitor lawrence computer electrical part
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(47.53%)
curation
(66.30%)
highlight visibility
(5.60%)
behavioral
(70.51%)
failure
(-0.22%)
harmonious color
(0.00%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(0.20%)
intrusive object presence
(-13.75%)
lively color
(-9.84%)
low light
(8.59%)
noise
(-2.56%)
pleasant camera tilt
(-3.35%)
pleasant composition
(-44.97%)
pleasant lighting
(-11.89%)
pleasant pattern
(1.76%)
pleasant perspective
(16.50%)
pleasant post processing
(4.08%)
pleasant reflection
(1.31%)
pleasant symmetry
(0.39%)
sharply focused subject
(6.74%)
tastefully blurred
(25.29%)
well chosen subject
(-28.54%)
well framed subject
(62.84%)
well timed shot
(18.81%)
all
(2.21%)
* 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.