Photos | Captured Curiosity at the Lawrence Hall of Science
A young boy, engrossed in the miniature world of a lizard within a glass case, highlights the wonders of natural science. This fantastic moment, captured in 2024, truly encapsulates the spirit of discovery and learning at Lawrence Hall of Science. Surrounding this scene, a delightful blend of flora and fauna, with a hint of Ikebana charm, brings about depth and brings the viewer closer to nature.
BLIP-2 Description:
a young boy looking at a lizard in a glass caseChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
pants herbs photography grass interior arrangement windowsill vehicle jacket outdoors footwear potted ikebana geranium life child pottery plant houseplant decorative part animal sitting invertebrate sea bonsai design leaf fish lawrence shoe portrait science wood hall water nature herbal planter flower boy vase wesley coat window transportation spider art machine jar tree aquarium indoors
iso
2000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2024-03-02T15:02:18.520000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(43.36%)
curation
(65.75%)
highlight visibility
(5.56%)
behavioral
(70.60%)
failure
(-0.44%)
harmonious color
(4.02%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-39.01%)
intrusive object presence
(-14.58%)
lively color
(1.66%)
low light
(0.54%)
noise
(-1.61%)
pleasant camera tilt
(-5.47%)
pleasant composition
(-72.80%)
pleasant lighting
(-0.74%)
pleasant pattern
(1.42%)
pleasant perspective
(-1.11%)
pleasant post processing
(6.93%)
pleasant reflection
(-3.65%)
pleasant symmetry
(0.20%)
sharply focused subject
(2.76%)
tastefully blurred
(26.95%)
well chosen subject
(-9.08%)
well framed subject
(15.44%)
well timed shot
(10.78%)
all
(0.01%)
* 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.