Photos | Electric Nightlife at the LA concert hall
The crowd buzzed with energy as they danced to the beats of the deejay under the dazzling lights of the stage at the LA concert hall.
BLIP-2 Description:
a large crowd of people in a concert hallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
continental interior room ca hollywood spotlight urban rock fall stage arts richard performing states entertainer performance iphone art led vine st arlen club yucca audience disco angeles corridor interior helmet deejay united electronics life los light nightclub room night recreation rajyavardhan singh rathore lighting entertainment september concert california crowd apple
iso
500
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.1
longitude
-118.33
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2015-09-26T00:41:56.504000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.69%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-3.22%)
harmonious color
(1.14%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-40.19%)
intrusive object presence
(-12.99%)
lively color
(-37.57%)
low light
(99.41%)
noise
(-16.46%)
pleasant camera tilt
(-9.76%)
pleasant composition
(-56.40%)
pleasant lighting
(-66.99%)
pleasant pattern
(4.35%)
pleasant perspective
(-3.45%)
pleasant post processing
(0.36%)
pleasant reflection
(-1.41%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.12%)
tastefully blurred
(-20.28%)
well chosen subject
(-11.82%)
well framed subject
(-36.40%)
well timed shot
(3.57%)
all
(-9.07%)
* 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.