Photos | Bright Lights and Booming Music: The Concert Experience

Ashley Liao, Chris Pappas, Nick Afanasiev, Justin Chu Cary, and Chen Ying were among the 59 people in the energized crowd at Coachella 2016, enjoying the lively performance in their fashionable clothing and headgear. The outdoor urban setting, with its bright lighting and intense atmosphere, created a memorable night of recreational fun for the diverse audience, including eight females, three children, and four girls. Accessories, such as glasses and jewelry, added to the excitement of the teen and adult attendees, who came to be part of the electrifying night life.
BLIP-2 Description:
a crowd of people at a concert with bright lightsMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2016-04-15T22:55:45-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.25%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.68%)
harmonious color
(0.04%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-5.07%)
intrusive object presence
(-35.72%)
lively color
(-10.21%)
low light
(22.44%)
noise
(-3.47%)
pleasant camera tilt
(-10.30%)
pleasant composition
(-72.80%)
pleasant lighting
(-59.52%)
pleasant pattern
(10.72%)
pleasant perspective
(-9.67%)
pleasant post processing
(5.77%)
pleasant reflection
(4.82%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.27%)
tastefully blurred
(2.31%)
well chosen subject
(-17.72%)
well framed subject
(-53.47%)
well timed shot
(-3.29%)
all
(-8.50%)
* 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.