Photos | Rocking with the Crowd

Josh Dylan, Tom Cassell, Brandon Larracuente, Jazzy De Lisser, and Ian Karmel join the packed audience for an electrifying performance at Coachella Weekend 2, Day 1. The large screens and spotlights add to the energy of the night.
BLIP-2 Description:
a crowd of people at a concert with large screensMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
bracelet necklace spotlight urban rock ian karmel mobile speaker footwear baby stage arts hat wristwatch performing tom performance shoe weekend art jazzy josh dylan hall glasses indoors coachella audience lisser life electronics theater jewelry cassell light accessories auditorium night recreation lighting phone day concert brandon larracuente de crowd
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2013-04-19T22:55:53.030000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.40%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.42%)
failure
(-0.44%)
harmonious color
(-4.47%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-31.05%)
intrusive object presence
(-11.21%)
lively color
(-34.57%)
low light
(98.78%)
noise
(-2.39%)
pleasant camera tilt
(-13.57%)
pleasant composition
(-70.56%)
pleasant lighting
(-66.65%)
pleasant pattern
(22.95%)
pleasant perspective
(-1.57%)
pleasant post processing
(-4.35%)
pleasant reflection
(-4.53%)
pleasant symmetry
(1.64%)
sharply focused subject
(0.20%)
tastefully blurred
(-3.96%)
well chosen subject
(5.14%)
well framed subject
(-4.87%)
well timed shot
(8.46%)
all
(-8.53%)
* 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.