Photos | Keynote Speech in a Reception Room
Kiichi Nakai delivers an inspiring speech at a conference in San Francisco, as João Derly and Russell look on in admiration in this beautifully designed reception room.
BLIP-2 Description:
a man in a suit is giving a speech to a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
lighting room furniture chandelier decor floor laptop dining wear home buena lamp linen lecture seminar pc food court indoors accessories shirt wood waiting formal derly joão chair conference glasses building architecture crowd food speech audience classroom suit text table light office interior restaurant plywood flooring computer kiichi nakai reception yerba hall school tablecloth interior design russell electronics document coat
iso
320
metering mode
3
aperture
f/2.2
focal length
4mm
latitude
37.79
longitude
-122.4
shutter speed
1/20s
camera make
Apple
camera model
lens model
date
2014-05-09T15:48:58.871000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.25%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.81%)
harmonious color
(2.47%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-6.48%)
intrusive object presence
(-14.16%)
lively color
(-16.36%)
low light
(19.63%)
noise
(-5.64%)
pleasant camera tilt
(-6.52%)
pleasant composition
(-57.57%)
pleasant lighting
(-61.52%)
pleasant pattern
(9.96%)
pleasant perspective
(1.57%)
pleasant post processing
(1.99%)
pleasant reflection
(-1.07%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.36%)
well chosen subject
(-42.50%)
well framed subject
(-9.11%)
well timed shot
(-1.26%)
all
(-8.65%)
* 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.