Photos | 2014 LA Concert

A packed auditorium at a 2014 concert in Los Angeles, featuring Sebastian Armesto, Poonam Raut, Félix Auger-Aliassime, and Yasuei Yakushiji. The crowd enjoys the lighting and sound while the performers take center stage.
BLIP-2 Description:
a large crowd of people in a concert hallMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Location:
activities spotlight urban rock leisure raut south poonam music speaker footwear stage arts performing musician performance sebastian armesto shoe stream art yakushiji club félix auger-aliassime indoors audience life interior yasuei electronics theater performer light group performance auditorium room musical instrument night recreation band lighting concert crowd park
iso
800
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.04
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2014-10-26T00:48:43.993000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.22%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-1.29%)
harmonious color
(-1.03%)
immersiveness
(1.20%)
interaction
(1.00%)
interesting subject
(-28.47%)
intrusive object presence
(-25.32%)
lively color
(-25.27%)
low light
(87.70%)
noise
(-9.20%)
pleasant camera tilt
(-11.44%)
pleasant composition
(-73.24%)
pleasant lighting
(-53.61%)
pleasant pattern
(4.98%)
pleasant perspective
(-2.23%)
pleasant post processing
(1.96%)
pleasant reflection
(-5.20%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.99%)
well chosen subject
(-0.15%)
well framed subject
(-43.92%)
well timed shot
(10.97%)
all
(-8.00%)
* 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.