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:
group activities spotlight urban rock leisure music speaker footwear chair stage hat wristwatch performing arts musician furniture entertainer performance shoe miller weekend art hardware machine flying indoors coachella lotus rekognition_c electronics mac theater performer screen light musical monitor instrument recreation band domo genesis speakers lighting laptop day concert computer crowd consumer
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.