Photos | Ribbon Cutting Ceremony at The Broad Building
Councilman José Huizar and Eric G, along with a crowd of 10 people, celebrate the grand opening of The Broad building in Los Angeles, California. The red ribbon marks a new beginning for the stunning architecture and urban landscape.
BLIP-2 Description:
people are 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
Location:
architecture tie rise formal necklace triangle flag handrail urban building wall chair footwear outdoors transportation hat crowd furniture outdoor jacket boat sky city bag shoe glove fashion coat glasses office building audience metropolis wear jewelry vehicle suit accessories high josé huizar blazer housing 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
2015-09-18T10:28:19.822000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.20%)
harmonious color
(5.65%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-11.65%)
intrusive object presence
(-18.80%)
lively color
(13.61%)
low light
(6.64%)
noise
(-0.32%)
pleasant camera tilt
(-3.12%)
pleasant composition
(-21.92%)
pleasant lighting
(19.06%)
pleasant pattern
(74.22%)
pleasant perspective
(26.39%)
pleasant post processing
(-3.65%)
pleasant reflection
(1.04%)
pleasant symmetry
(1.61%)
sharply focused subject
(3.13%)
tastefully blurred
(3.81%)
well chosen subject
(-8.24%)
well framed subject
(2.07%)
well timed shot
(10.75%)
all
(10.53%)
* 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.