Photos | Onstage Performance

Earl Sweatshirt and Tyler, The Creator perform together at Coachella Weekend 2, Day 1 in 2013, with two microphones and a spotlight shining. The crowd cheers on as the two entertainers light up the stage.
BLIP-2 Description:
two men on stage at a concert with microphonesMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Location:
lighting instrument tyler cap urban activities earl sweatshirt band dancing undershirt device recreation part day lamp musician plant weekend teen coachella spotlight wristwatch accessories shirt performer baseball jewelry performance pants creator crowd musical concert music light shorts boy entertainer electrical bracelet stage reck leisure hat performing arts art microphone group performance
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
23mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2013-04-20T00:32:55.600000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.39%)
harmonious color
(2.93%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(21.40%)
intrusive object presence
(-17.14%)
lively color
(-27.51%)
low light
(95.26%)
noise
(-2.37%)
pleasant camera tilt
(-5.97%)
pleasant composition
(-41.46%)
pleasant lighting
(-35.23%)
pleasant pattern
(8.76%)
pleasant perspective
(7.03%)
pleasant post processing
(5.50%)
pleasant reflection
(4.05%)
pleasant symmetry
(2.20%)
sharply focused subject
(1.12%)
tastefully blurred
(-1.85%)
well chosen subject
(-22.73%)
well framed subject
(28.66%)
well timed shot
(24.89%)
all
(0.19%)
* 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.