Photos | Guest Speakers at Formal Gathering
(L to R) Antonio Villaraigosa, Adam Schiff, and Susan Bay address a crowd at a podium, dressed in their best formal wear for the event. The group of four men are seen with their suits, corded microphones, and two pairs of glasses at the ready as they deliver their speeches to the captivated audience.
BLIP-2 Description:
a man in a suit and tie standing at a podiumChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
speech tie jabonge conores formal mobile observatory podium microphone graduation jacket art document mayor coat glasses councilmember audience antonio villaraigosa antonio wear cord electronics folder suit accessories griffith blazer villaraigosa untitled device phone susan bay schiff crowd adam electrical
Detected Text
iso
100
metering mode
5
aperture
f/3.5
focal length
85mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2006-11-02T17:29:43-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(57.23%)
curation
(66.25%)
highlight visibility
(5.59%)
behavioral
(70.40%)
failure
(-0.17%)
harmonious color
(1.74%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(55.13%)
intrusive object presence
(-22.36%)
lively color
(2.56%)
low light
(7.93%)
noise
(-2.15%)
pleasant camera tilt
(-2.66%)
pleasant composition
(-27.76%)
pleasant lighting
(2.85%)
pleasant pattern
(6.10%)
pleasant perspective
(13.16%)
pleasant post processing
(3.53%)
pleasant reflection
(0.96%)
pleasant symmetry
(1.07%)
sharply focused subject
(6.76%)
tastefully blurred
(16.81%)
well chosen subject
(-17.43%)
well framed subject
(27.27%)
well timed shot
(36.38%)
all
(8.14%)
* 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.