Photos | Man Playing Music for Enthralled Crowd at Coachella Music Festival

Artour Babaev, Khalil Fong, and Jake Clemons electrify the audience with their captivating music and dynamic stage presence at Coachella 2008. The sight of their enthusiasm and sheer musical talent truly mesmerized the massive crowd gathered in the auditorium.
BLIP-2 Description:
a man playing music on a stage in front of a large crowdMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture speech classroom building footwear stage lamp hat wristwatch furniture outdoor khalil manufacturing shoe venue desk hall glasses indoors coachella audience factory belt school interior fong cord table accessories auditorium room artour babaev jake clemons sports lighting workshop concert crowd
iso
250
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2008-04-26T13:23:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.32%)
harmonious color
(1.33%)
immersiveness
(1.22%)
interaction
(1.00%)
interesting subject
(-11.08%)
intrusive object presence
(-8.42%)
lively color
(-19.07%)
low light
(29.03%)
noise
(-2.49%)
pleasant camera tilt
(-12.49%)
pleasant composition
(-64.31%)
pleasant lighting
(-21.25%)
pleasant pattern
(12.92%)
pleasant perspective
(11.27%)
pleasant post processing
(2.15%)
pleasant reflection
(-2.58%)
pleasant symmetry
(1.61%)
sharply focused subject
(0.32%)
tastefully blurred
(-1.77%)
well chosen subject
(-1.86%)
well framed subject
(-34.42%)
well timed shot
(10.53%)
all
(-1.18%)
* 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.