Photos | Adam Schiff delivers inspiring speech in front of iconic observatory

Congressman Adam Schiff delivers a passionate speech in front of the Griffith Observatory, while Antonio Villaraigosa and other attendees look on. The dome, blue sky, and decorative plant set the perfect backdrop for this inspiring moment.
BLIP-2 Description:
a man is giving a speech at a podium in front of a buildingMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture tie formal statue plant planetarium building window observatory footwear flower arrangement decorative houseplant riffith microphone hat outdoor sky shoe bag art dome glasses pc antonio villaraigosa wear rekognition_c electronics folder accessories laptop device untitled schiff computer handbag adam electrical
Detected Text
iso
1600
metering mode
5
aperture
f/4
focal length
20mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2006-11-03T18:10:44-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(41.26%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.27%)
harmonious color
(4.71%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-7.92%)
intrusive object presence
(-13.31%)
lively color
(-8.35%)
low light
(17.77%)
noise
(-2.20%)
pleasant camera tilt
(-9.63%)
pleasant composition
(-56.15%)
pleasant lighting
(-36.38%)
pleasant pattern
(17.21%)
pleasant perspective
(11.54%)
pleasant post processing
(-1.65%)
pleasant reflection
(-1.76%)
pleasant symmetry
(2.39%)
sharply focused subject
(0.24%)
tastefully blurred
(-1.73%)
well chosen subject
(-6.78%)
well framed subject
(-22.49%)
well timed shot
(3.26%)
all
(-2.21%)
* 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.