Photos | Electrifying Performance at Coachella

Mac Miller, Domo Genesis, and Flying Lotus take the stage to light up the night with their incredible music at Coachella Weekend 2. The crowd cheers as the spotlights and speakers beam through the darkness, creating an unforgettable outdoor concert experience.
BLIP-2 Description:
a group of people on stage at an outdoor concertMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
stage activities night life coachella day speakers indoors weekend footwear musical lamp theater concert urban performing arts leisure lighting recreation mac miller bag group hat speaker flying lotus handbag crowd musician rock band light music instrument electronics performer genesis performance art domo spotlight shoe accessories
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2013-04-20T00:26:09.860000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.96%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.10%)
harmonious color
(7.97%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(50.63%)
intrusive object presence
(-38.79%)
lively color
(-29.27%)
low light
(94.04%)
noise
(-0.78%)
pleasant camera tilt
(-9.78%)
pleasant composition
(-65.53%)
pleasant lighting
(-23.75%)
pleasant pattern
(7.86%)
pleasant perspective
(31.52%)
pleasant post processing
(2.55%)
pleasant reflection
(5.12%)
pleasant symmetry
(3.66%)
sharply focused subject
(0.15%)
tastefully blurred
(-8.54%)
well chosen subject
(4.67%)
well framed subject
(-28.74%)
well timed shot
(32.59%)
all
(3.78%)
* 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.