Photos | Fiery Entertainer in a Red Dress
Shōgo Hamada wows the crowd with his scorching fire show at a restaurant in Hawaii.
BLIP-2 Description:
a man in a red dress is performing a fire showChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture reception dining table activities cafeteria mandy necklace formal handrail urban evening plant building meal leisure food chair speaker footwear flower gown buffet arrangement decorative lamp waiting restaurant furniture flooring design court wood shoe shōgo hamada fashion resort camera indoors dining hotel interior wear electronics living room jewelry hardwood light table room accessories couch lighting part chandelier dress back ballroom floor cup dancing hawaii
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2008-03-15T22:25:49-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.84%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.62%)
failure
(-0.37%)
harmonious color
(2.57%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-36.35%)
intrusive object presence
(-9.79%)
lively color
(-47.17%)
low light
(56.20%)
noise
(-3.15%)
pleasant camera tilt
(-10.82%)
pleasant composition
(-84.62%)
pleasant lighting
(-45.29%)
pleasant pattern
(2.32%)
pleasant perspective
(-2.00%)
pleasant post processing
(1.40%)
pleasant reflection
(-0.63%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.17%)
tastefully blurred
(-18.36%)
well chosen subject
(4.86%)
well framed subject
(-29.47%)
well timed shot
(7.14%)
all
(-8.35%)
* 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-3.5-turbo-0301
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.