Photos | Lights, Music, and the Crowd at Coachella
Offset and Lil Yachty join forces on stage for an electrifying performance at Coachella 2017, complete with stunning lights and a sea of adoring fans.
BLIP-2 Description:
a group of people on stage with lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
bracelet string group necklace spotlight urban rock music speaker chair keyboard stage musical instrument microphone wristwatch performing arts musician furniture entertainer guitarist performance lil art yachty hardware glasses coachella pc belt offset electronics performer jewelry light accessories musical instrument recreation band speakers lighting laptop device guitar concert computer leisure activities crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2017-04-15T23:08:53-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(66.85%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.34%)
harmonious color
(10.70%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(50.54%)
intrusive object presence
(-14.67%)
lively color
(6.78%)
low light
(99.22%)
noise
(-2.93%)
pleasant camera tilt
(-1.97%)
pleasant composition
(-18.92%)
pleasant lighting
(14.40%)
pleasant pattern
(16.46%)
pleasant perspective
(20.40%)
pleasant post processing
(9.16%)
pleasant reflection
(-2.10%)
pleasant symmetry
(2.20%)
sharply focused subject
(1.39%)
tastefully blurred
(-0.87%)
well chosen subject
(3.27%)
well framed subject
(-3.24%)
well timed shot
(19.65%)
all
(11.50%)
* 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.