Photos | Grand Opening of The Broad Building
Eli Broad, Jerry Brown, Eric G, and a crowd of 13 people stand in front of the stunning red ribbon-adorned architecture of The Broad building in Los Angeles, California.
BLIP-2 Description:
people standing in front of a building with a red ribbonChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
architecture tie formal triangle handrail urban convention building planetarium wall window footwear outdoors transportation wristwatch crowd outdoor jacket sky city bag shoe eli broad coat glasses office building audience airport metropolis helmet wear car vehicle suit accessories blazer walking brown housing center terminal jerry handbag shelter
iso
32
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/6623s
camera make
Apple
camera model
lens model
date
2015-09-18T10:17:36.665000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.11%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.15%)
harmonious color
(9.50%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(22.78%)
intrusive object presence
(-9.64%)
lively color
(21.66%)
low light
(16.31%)
noise
(-0.81%)
pleasant camera tilt
(-2.32%)
pleasant composition
(-9.70%)
pleasant lighting
(27.44%)
pleasant pattern
(85.84%)
pleasant perspective
(22.11%)
pleasant post processing
(3.67%)
pleasant reflection
(2.11%)
pleasant symmetry
(2.69%)
sharply focused subject
(3.71%)
tastefully blurred
(6.27%)
well chosen subject
(-2.27%)
well framed subject
(-4.69%)
well timed shot
(8.81%)
all
(14.47%)
* 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.