Photos | Santigold Rocks the Stage at Coachella 2012

A group of eight people, including Santigold, put on an electrifying performance under the spotlight at the Coachella 2012 music festival. The stage is adorned with nine lamps for a light show that matches the energy of the crowd.
BLIP-2 Description:
a group of people on stage at a concertMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet group activities sunday necklace spotlight urban leisure music speaker footwear keyboard stage lamp microphone hat transportation santigold musician performance shoe city weekend glasses coachella shorts bicycle electronics jewelry performer vehicle light accessories musical instrument recreation band percussion device guitar concert crowd drum piano electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
31mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2012-04-22T16:00:11.160000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(51.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.17%)
harmonious color
(-1.25%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(13.85%)
intrusive object presence
(-6.57%)
lively color
(-6.79%)
low light
(65.04%)
noise
(-1.07%)
pleasant camera tilt
(-9.40%)
pleasant composition
(-40.04%)
pleasant lighting
(-12.32%)
pleasant pattern
(38.40%)
pleasant perspective
(25.37%)
pleasant post processing
(0.15%)
pleasant reflection
(-3.07%)
pleasant symmetry
(8.13%)
sharply focused subject
(0.49%)
tastefully blurred
(-3.07%)
well chosen subject
(-8.12%)
well framed subject
(-33.15%)
well timed shot
(15.32%)
all
(4.61%)
* 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.