Photos | DJ Rocking the Crowd at Coachella
Zack Martin dominates the stage as he spins tracks to a packed Coachella crowd on Weekend 2, Saturday night. Matthew Henson, Harry Waters, and Natalie Munt enjoy the night, surrounded by urban lighting and plants, while 24 other attendees groove to the music. #Concert #Crowd #Urban #Lighting #Man #Electronics #People #Nightlife
BLIP-2 Description:
a dj is playing music in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
necklace urban plant stage hat saturday weekend natalie matthew henson hardware hall glasses indoors coachella audience pc zack martin harry life interior electronics theater jewelry screen nightclub accessories monitor auditorium night room lighting laptop part waters back rock concert concert computer crowd munt
iso
6400
metering mode
5
aperture
f/2.8
focal length
33mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2012-04-21T21:25:32.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.97%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.49%)
harmonious color
(4.17%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-20.24%)
intrusive object presence
(-16.06%)
lively color
(-30.62%)
low light
(91.21%)
noise
(-1.73%)
pleasant camera tilt
(-10.16%)
pleasant composition
(-59.72%)
pleasant lighting
(-24.33%)
pleasant pattern
(21.26%)
pleasant perspective
(6.43%)
pleasant post processing
(5.09%)
pleasant reflection
(1.67%)
pleasant symmetry
(2.27%)
sharply focused subject
(0.32%)
tastefully blurred
(-4.46%)
well chosen subject
(2.04%)
well framed subject
(-33.18%)
well timed shot
(9.73%)
all
(-0.91%)
* 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.