Photos | Club Night Musical Performance

Mikey Nicholls entertains the crowd at the 2007 Coachella Saturday concert, while Alina Astafei and Shirley Babashoff groove to his tunes.
BLIP-2 Description:
a man playing music at a concert with people watchingMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
lighting instrument room urban pioneer activities band glove device recreation mc saturday turntable musician deejay coachella wristwatch accessories performer night club jewelry performance mikey nicholls night glasses footwear shirley babashoff crowd musical club concert music party interior disco entertainer nightclub electrical life bracelet q alina stage leisure hat microphone astafei group performance fun coachella_saturday shoe
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2007-04-28T22:31:13-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.33%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.64%)
failure
(-0.66%)
harmonious color
(-2.10%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-28.74%)
intrusive object presence
(-9.62%)
lively color
(-45.87%)
low light
(96.78%)
noise
(-4.39%)
pleasant camera tilt
(-7.06%)
pleasant composition
(-87.21%)
pleasant lighting
(-49.66%)
pleasant pattern
(7.15%)
pleasant perspective
(-0.76%)
pleasant post processing
(-6.03%)
pleasant reflection
(-0.70%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.29%)
tastefully blurred
(-46.88%)
well chosen subject
(-22.38%)
well framed subject
(-38.75%)
well timed shot
(10.59%)
all
(-10.28%)
* 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.