Photos | A Bubbly Interlude Under the Neon Lights
Caught in a light-hearted moment, Kumiko and Wesley radiate joy from within a vibrant bubble installation at The Domain in Austin. Their smiles serve as a reminder of the playful magic everyday moments can hold. (January 2024)
BLIP-2 Description:
a woman and a man inside a bubble with pink lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
north purple dress bracelet portrait baby water house randoms camera footwear formal bag toy jacket park laughing necklace january housing amusement jewelry happy building lighting electronics outdoors shoe handbag nature photographer coat staircase play pants area handrail kumiko ogura burnet lori s architecture blouse light wear sphere wesley accessories photography indoors shelter smile
iso
160
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
30.4
longitude
-97.73
shutter speed
1/60s
camera make
Apple
camera model
overall
(48.90%)
curation
(71.02%)
highlight visibility
(5.96%)
behavioral
(70.49%)
failure
(-0.46%)
harmonious color
(5.64%)
immersiveness
(0.27%)
interaction
(18.00%)
interesting subject
(23.28%)
intrusive object presence
(-4.22%)
lively color
(-2.36%)
low light
(37.21%)
noise
(-18.48%)
pleasant camera tilt
(-4.46%)
pleasant composition
(-6.47%)
pleasant lighting
(-9.69%)
pleasant pattern
(31.32%)
pleasant perspective
(18.21%)
pleasant post processing
(5.04%)
pleasant reflection
(-3.13%)
pleasant symmetry
(3.27%)
sharply focused subject
(0.78%)
tastefully blurred
(-12.23%)
well chosen subject
(3.90%)
well framed subject
(28.71%)
well timed shot
(14.32%)
all
(7.36%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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,
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