Photos | Spotlight on Heather Smith-Dacey during Group Performance

Heather Smith-Dacey takes center stage among 22 other performers in a brightly-lit auditorium during a music concert at Coachella 2016. The LED lights illuminating the stage add to the electrifying atmosphere of the performance.
BLIP-2 Description:
a group of people on stage with lightsMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
architecture group activities sunday spotlight rock classroom building leisure music speaker stage performing arts musician performance art led hall indoors coachella school interior electronics theater performer light auditorium room musical instrument recreation band lighting concert heather smith-dacey crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2016-04-17T19:07:40.760000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.18%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-4.37%)
harmonious color
(2.36%)
immersiveness
(1.20%)
interaction
(1.00%)
interesting subject
(-23.85%)
intrusive object presence
(-5.44%)
lively color
(5.14%)
low light
(99.90%)
noise
(-5.62%)
pleasant camera tilt
(-8.18%)
pleasant composition
(-45.04%)
pleasant lighting
(-48.07%)
pleasant pattern
(14.75%)
pleasant perspective
(-0.82%)
pleasant post processing
(3.27%)
pleasant reflection
(3.84%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.15%)
tastefully blurred
(-17.27%)
well chosen subject
(-0.32%)
well framed subject
(-34.30%)
well timed shot
(5.30%)
all
(-1.91%)
* 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.