Photos | Crowd Goes Wild at Sean Paul Concert

Sean Paul and his entourage perform under bright lights as the energized crowd raises their arms in excitement at Coachella 2016.
BLIP-2 Description:
a group of people on stage with their arms upMetadata
Capture date:
Original Dimensions:
8688w x 5792h - (download 4k)
Usage
Dominant Color:
group activities boy necklace sunday spotlight urban rock leisure music child footwear stage hat performing arts musician entertainer performance shoe paul art glove sean glasses indoors coachella teen pc life rekognition_c electronics theater jewelry performer light musical accessories instrument night recreation band lighting laptop concert computer crowd singer dancing
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2016-04-17T20:03:05-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.29%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.73%)
harmonious color
(4.81%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-19.69%)
intrusive object presence
(-33.89%)
lively color
(-20.95%)
low light
(99.22%)
noise
(-4.66%)
pleasant camera tilt
(-2.89%)
pleasant composition
(-66.65%)
pleasant lighting
(-29.27%)
pleasant pattern
(2.22%)
pleasant perspective
(-2.43%)
pleasant post processing
(14.64%)
pleasant reflection
(-2.92%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.73%)
tastefully blurred
(-11.39%)
well chosen subject
(-5.02%)
well framed subject
(-34.06%)
well timed shot
(26.34%)
all
(-0.83%)
* 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.