Photos | Keynote Speaker Addresses Audience at Planetarium

Keith Hernandez delivers a powerful speech in front of the iconic dome and decorative plants at the planetarium, joined by notable figures such as Antonio Villaraigosa, Adam Schiff, Mike Babcock, and Luis Valdez.
BLIP-2 Description:
a man is speaking at a podium in front of a buildingMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture tie formal flag luis valdez plant planetarium fence building observatory flower stairs decorative jar hat adam schiff crowd outdoor mike planter keith hernandez design sky bag pottery fashion dome glasses indoors pc interior wear antonio electronics folder vase accessories griffith laptop villaraigosa untitled potted concert computer babcock handbag
Detected Text
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2006-11-03T17:48:27-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(55.91%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.12%)
harmonious color
(9.67%)
immersiveness
(0.93%)
interaction
(1.00%)
interesting subject
(6.85%)
intrusive object presence
(-24.78%)
lively color
(-9.20%)
low light
(2.27%)
noise
(-0.73%)
pleasant camera tilt
(-6.74%)
pleasant composition
(-40.77%)
pleasant lighting
(-3.16%)
pleasant pattern
(11.89%)
pleasant perspective
(29.79%)
pleasant post processing
(9.12%)
pleasant reflection
(-0.98%)
pleasant symmetry
(5.47%)
sharply focused subject
(1.34%)
tastefully blurred
(4.89%)
well chosen subject
(10.86%)
well framed subject
(2.75%)
well timed shot
(6.09%)
all
(6.52%)
* 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.