Photos | Purple Haze Performers
Mac Miller, Domo Genesis, and Flying Lotus electrify the crowd with their musical machines under the spotlight at Coachella Weekend 2.
BLIP-2 Description:
two men on stage at a concert with purple lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
lighting instrument lotus machine speaker urban furniture activities theater band laptop consumer hardware group recreation screen day musician miller weekend coachella spotlight wristwatch indoors performer rock performance chair footwear mac crowd musical monitor concert domo genesis music light flying entertainer computer speakers rekognition_c stage leisure hat art performing arts electronics shoe
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2013-04-20T00:25:48.380000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.42%)
harmonious color
(1.27%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-22.33%)
intrusive object presence
(-31.49%)
lively color
(-29.91%)
low light
(98.10%)
noise
(-3.13%)
pleasant camera tilt
(-11.29%)
pleasant composition
(-84.91%)
pleasant lighting
(-39.45%)
pleasant pattern
(5.52%)
pleasant perspective
(-0.24%)
pleasant post processing
(-4.07%)
pleasant reflection
(-1.77%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.15%)
tastefully blurred
(-21.33%)
well chosen subject
(1.92%)
well framed subject
(-39.75%)
well timed shot
(7.10%)
all
(-7.01%)
* 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.