Photos | Rocking the Night Away at Coachella
Stephanie Beatriz and her band put on an electrifying performance, complete with dazzling lights and smoke effects at Coachella 2012 Weekend 2 Saturday Night. The crowd was on their feet all night, enjoying the music and entertainment under the stars.
BLIP-2 Description:
a band on stage with lights and smoke coming from the stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
weekend art urban instrument recreation night music glasses performing arts musician moon group performance leisure coachella activities theater musical entertainer chair singer device band concert performer stage lighting electronics outdoors nature microphone astronomy spotlight rock performance guitar speaker light saturday furniture accessories stephanie beatriz indoors electrical crowd
iso
6400
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
29mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
overall
(31.37%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-4.61%)
harmonious color
(-1.39%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-46.04%)
intrusive object presence
(-13.67%)
lively color
(-16.98%)
low light
(99.95%)
noise
(-21.34%)
pleasant camera tilt
(-6.56%)
pleasant composition
(-61.96%)
pleasant lighting
(-57.57%)
pleasant pattern
(5.79%)
pleasant perspective
(-0.85%)
pleasant post processing
(-0.29%)
pleasant reflection
(1.32%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.22%)
tastefully blurred
(-20.81%)
well chosen subject
(-5.30%)
well framed subject
(-56.35%)
well timed shot
(26.17%)
all
(-5.21%)
* 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.