Photos | Movie Theater Billboard
Sterling K. Brown and Gustavo Dudamel appear on the poster of the latest movie to grace the billboard at the Stanley Mosk Courthouse in LA.
BLIP-2 Description:
a billboard advertising a movie theater with a poster for a movieChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
civic december group dudamel org senior druid chair garry november theatre phylicia furniture akhtar wilson june billboard company kimberly directed little tokyo hardware poster susic beauty july electronics sign queen mcdonagh martin las hynes august october ctgla sterling k. brown ayad media center partol centertheatregroup advertisement advertising computer artistic rashad gustavo rv
Detected Text
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.06
longitude
-118.25
shutter speed
1/40s
camera make
Apple
camera model
date
2016-10-11T19:02:02.875000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.78%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.54%)
failure
(-0.12%)
harmonious color
(2.11%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-66.89%)
intrusive object presence
(-3.86%)
lively color
(30.20%)
low light
(9.52%)
noise
(-1.76%)
pleasant camera tilt
(-9.86%)
pleasant composition
(-40.41%)
pleasant lighting
(-3.24%)
pleasant pattern
(5.42%)
pleasant perspective
(-6.71%)
pleasant post processing
(-1.00%)
pleasant reflection
(-5.95%)
pleasant symmetry
(0.39%)
sharply focused subject
(2.71%)
tastefully blurred
(-0.61%)
well chosen subject
(-17.61%)
well framed subject
(-0.14%)
well timed shot
(-3.00%)
all
(-1.02%)
* 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.