Photos | Group Performance with Sean Paul
Sean Paul joins a group of eight performers on stage for an electrifying concert at Coachella 2016 on WK01 Sunday. The red-hatted artist entertains the crowd with his signature music while the spotlight highlights the audience's enjoyment of the recreation.
BLIP-2 Description:
a group of people on stage with a man in a red hatMetadata
Capture date:
Original Dimensions:
8688w x 5792h - (download 4k)
Usage
Dominant Color:
art urban instrument rekognition_c recreation night music glasses modern performing arts musician footwear group performance leisure coachella activities musical paul necklace dancing entertainer singer jewelry band concert dance performer stage lighting electronics shoe sunday sean dance pose spotlight wristwatch performance life speaker hat light traffic accessories crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(69.24%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.39%)
harmonious color
(10.78%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(60.21%)
intrusive object presence
(-15.31%)
lively color
(-5.15%)
low light
(97.41%)
noise
(-3.03%)
pleasant camera tilt
(-3.97%)
pleasant composition
(-10.96%)
pleasant lighting
(6.71%)
pleasant pattern
(23.75%)
pleasant perspective
(8.87%)
pleasant post processing
(18.87%)
pleasant reflection
(-0.90%)
pleasant symmetry
(2.29%)
sharply focused subject
(2.10%)
tastefully blurred
(1.41%)
well chosen subject
(-17.09%)
well framed subject
(22.95%)
well timed shot
(34.06%)
all
(11.71%)
* 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.