Photos | Smoke-filled Nightlife Concert in LA
Angela Jones is just one of the 46 people caught up in the energetic crowd at this urban night club. The lighting and smoke-filled atmosphere add to the fun and excitement of this rock concert.
BLIP-2 Description:
a crowd of people in a large room with smoke coming out of the ceilingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
continental ca urban rock fall pl footwear harlem core stage states historic performance shoe party iphone jewelry district fun club audience disco angeles life united rekognition_c angela los night downtown recreation october lighting jones entertainment concert california crowd apple historic core
iso
250
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/20s
camera make
Apple
camera model
lens model
date
2014-10-30T23:50:05.960000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.61%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-1.39%)
harmonious color
(-1.79%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(-25.46%)
intrusive object presence
(-14.87%)
lively color
(-22.36%)
low light
(1.34%)
noise
(-14.06%)
pleasant camera tilt
(-13.33%)
pleasant composition
(-68.51%)
pleasant lighting
(-66.36%)
pleasant pattern
(3.03%)
pleasant perspective
(-12.84%)
pleasant post processing
(-1.02%)
pleasant reflection
(-9.50%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.79%)
well chosen subject
(2.16%)
well framed subject
(-37.84%)
well timed shot
(11.16%)
all
(-10.07%)
* 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.