Photos | The High-Energy Performance at Coachella Concert

Song Donglun, Daniel Hope, and Evan Peters rock the stage in front of a massive crowd at Coachella Weekend 2, Day 2. The night sky lights up as the spotlight shines on the performers, creating an unforgettable experience for the 28,000 concert-goers.
BLIP-2 Description:
a large crowd at a concert with people on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
speech activities spotlight urban rock leisure chair speaker footwear music stage wristwatch hat song donglun musician furniture outdoor performance sky shoe weekend daniel indoors coachella audience pc electronics theater performer light group performance musical instrument recreation band evan peters lighting laptop day concert computer hope crowd
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2013-04-20T21:31:00.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.68%)
harmonious color
(1.58%)
immersiveness
(1.90%)
interaction
(1.00%)
interesting subject
(-42.09%)
intrusive object presence
(-19.75%)
lively color
(-15.78%)
low light
(81.93%)
noise
(-3.74%)
pleasant camera tilt
(-12.23%)
pleasant composition
(-66.89%)
pleasant lighting
(-49.68%)
pleasant pattern
(5.98%)
pleasant perspective
(-5.15%)
pleasant post processing
(4.07%)
pleasant reflection
(-1.36%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.12%)
tastefully blurred
(-1.06%)
well chosen subject
(-3.52%)
well framed subject
(-46.46%)
well timed shot
(10.79%)
all
(-5.64%)
* 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.