Photos | Grand Opening Ceremony of The Broad Building
Eli Broad, Jerry Brown, and Eric Garcetti cutting the red ribbon in front of The Broad building in Los Angeles, California. The blue sky and stunning architecture make for a memorable day in 2015.
BLIP-2 Description:
people standing in front of a building with a red ribbonChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
architecture tie rise formal flag urban building wall overcoat chair outdoors wristwatch furniture outdoor jacket utensil sky city eli broad art glove fashion coat glasses office building metropolis umbrella helmet wear eric garcetti suit accessories high blazer brown sword jerry crowd weapon 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
2015-09-18T10:44:20.700000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.12%)
harmonious color
(5.20%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-13.87%)
intrusive object presence
(-23.10%)
lively color
(1.68%)
low light
(5.64%)
noise
(-0.27%)
pleasant camera tilt
(-3.39%)
pleasant composition
(-39.97%)
pleasant lighting
(14.11%)
pleasant pattern
(60.21%)
pleasant perspective
(26.25%)
pleasant post processing
(-1.93%)
pleasant reflection
(2.46%)
pleasant symmetry
(1.46%)
sharply focused subject
(2.29%)
tastefully blurred
(-1.06%)
well chosen subject
(-5.60%)
well framed subject
(7.53%)
well timed shot
(12.38%)
all
(8.07%)
* 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.