Photos | Group Performance at Coachella Concert
Chali 2na, Nelsan Ellis, and Cut Chemist take the stage at Coachella for an unforgettable musical performance. The vibrant lighting, speakers, and crowd create an electrifying atmosphere.
BLIP-2 Description:
a group of men on stage at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
activities coachella day speakers weekend footwear computer musical singer concert urban performing arts leisure nelsan laptop lighting recreation glasses glove bag hat speaker entertainer pc shoe string handbag crowd musician rock ellis group performance wristwatch cut chemist band light music musical instrument instrument electronics performer performance art spotlight stage accessories
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2013-04-19T23:27:10.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(51.90%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.34%)
harmonious color
(2.69%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(30.47%)
intrusive object presence
(-12.38%)
lively color
(-6.53%)
low light
(97.27%)
noise
(-2.25%)
pleasant camera tilt
(-5.45%)
pleasant composition
(-36.33%)
pleasant lighting
(-3.35%)
pleasant pattern
(17.97%)
pleasant perspective
(25.93%)
pleasant post processing
(6.45%)
pleasant reflection
(-3.56%)
pleasant symmetry
(4.66%)
sharply focused subject
(0.76%)
tastefully blurred
(-6.31%)
well chosen subject
(-1.97%)
well framed subject
(-6.08%)
well timed shot
(19.35%)
all
(6.17%)
* 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.