Photos | Ribbon Cutting Ceremony at The Broad Office Building
José Huizar, Eli Broad, Jerry Brown, and Eric G join a group of 13 people for a formal ribbon cutting ceremony at The Broad's new office building in Los Angeles. The sleek architecture and modern design provide a shelter for the bustling metropolis outside.
BLIP-2 Description:
a group of people standing in front of a building with a red ribbonMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
accessories josé architecture city vehicle urban shoe audience walking formal eli handrail suit handbag coat wear broad transportation office building center device crowd huizar outdoors flag airport helmet building josé huizar electrical jerry brown terminal jacket footwear tie microphone convention bag blazer shelter car metropolis glasses
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
overall
(55.18%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.20%)
harmonious color
(6.73%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-3.78%)
intrusive object presence
(-9.50%)
lively color
(16.93%)
low light
(15.50%)
noise
(-0.93%)
pleasant camera tilt
(-3.29%)
pleasant composition
(-21.77%)
pleasant lighting
(14.33%)
pleasant pattern
(83.20%)
pleasant perspective
(17.64%)
pleasant post processing
(2.65%)
pleasant reflection
(3.16%)
pleasant symmetry
(2.17%)
sharply focused subject
(2.81%)
tastefully blurred
(4.97%)
well chosen subject
(-4.06%)
well framed subject
(-9.64%)
well timed shot
(2.24%)
all
(10.47%)
* 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 with AI (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.