Photos | Political Panel with Larry Elder and Michele Bachmann

Conservative commentators Larry Elder (left) and Michele Bachmann (right) participate in a panel discussion at Politicon 2015 in Los Angeles, California. They discuss political issues while sitting on chairs and using microphones in front of a banner and audience.
BLIP-2 Description:
a man and woman sitting on chairs at a panelMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
conversation press interview heel furniture diego larry elder glove answer bachmann con sitting wear device tie fashion arswer high formal accessories sign er ter ring jewelry chair conference footwear swer park crowd banner speech politicon michele audience suit electrical ans south microphone sher shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
90mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2015-10-10T15:05:06.040000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.77%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.59%)
failure
(-0.42%)
harmonious color
(3.52%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(21.68%)
intrusive object presence
(-3.00%)
lively color
(-3.32%)
low light
(21.70%)
noise
(-2.95%)
pleasant camera tilt
(-7.27%)
pleasant composition
(-25.27%)
pleasant lighting
(-12.18%)
pleasant pattern
(26.59%)
pleasant perspective
(5.99%)
pleasant post processing
(5.34%)
pleasant reflection
(-1.61%)
pleasant symmetry
(2.56%)
sharply focused subject
(1.27%)
tastefully blurred
(-0.46%)
well chosen subject
(-0.39%)
well framed subject
(21.40%)
well timed shot
(4.29%)
all
(3.23%)
* 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.