Photos | The Spotlight is on Mac Suzuki
Mac Suzuki stands confidently in front of a packed crowd at Caesars Palace, illuminated by dramatic lighting, as he prepares to take on the competition.
BLIP-2 Description:
a man in black standing on a mat in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture speech building aquatic stadium portrait chair speaker footwear stage mac suzuki arts outdoors hat solo graduation furniture performance shoe wrestling hardware machine judo hall coat indoors water audience pc martial logic photographer nature electronics theater performer screen arena sport auditorium monitor night lighting laptop tv photography sword computer sumo crowd weapon shelter
iso
125
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.12
longitude
-115.17
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2019-12-04T20:57:47.083000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(32.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.76%)
harmonious color
(2.69%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-7.68%)
intrusive object presence
(-17.19%)
lively color
(-9.31%)
low light
(78.76%)
noise
(-10.03%)
pleasant camera tilt
(-8.14%)
pleasant composition
(-43.70%)
pleasant lighting
(-57.13%)
pleasant pattern
(9.84%)
pleasant perspective
(0.33%)
pleasant reflection
(1.53%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.27%)
tastefully blurred
(-13.28%)
well chosen subject
(-34.55%)
well framed subject
(22.61%)
well timed shot
(1.20%)
all
(-6.11%)
* 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.