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:
blouse play shoe laughing formal burnet indoors sphere purple shelter randoms outdoors happy smile toy house camera park handrail photographer area kumiko ogura accessories lighting portrait bracelet lori s wear housing jacket building photography dress water staircase bag north nature pants footwear january coat baby electronics light handbag architecture jewelry amusement necklace wesley
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,
just reach out.