Photos | Rocking Under the Desert Night Sky
The crowd gathers at Coachella Weekend 2 for an unforgettable performance under the starry night sky. Featuring Ryan Kelley, Heather Nedohin, Cut Chemist, and Todd La Torre.
BLIP-2 Description:
a crowd of people at a concert with a stage and lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
nedohin spotlight urban rock building chair footwear stage flare hat crowd furniture outdoor la performance sky shoe bag cut chemist weekend hall glasses indoors coachella audience life helmet heather theater ryan kelley todd light accessories auditorium night recreation torre lighting day concert handbag
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2013-04-19T23:18:11.040000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.24%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-1.64%)
harmonious color
(1.17%)
immersiveness
(1.00%)
interaction
(1.00%)
interesting subject
(-14.07%)
intrusive object presence
(-11.16%)
lively color
(-10.08%)
low light
(96.63%)
noise
(-14.04%)
pleasant camera tilt
(-12.50%)
pleasant composition
(-61.04%)
pleasant lighting
(-36.67%)
pleasant pattern
(4.13%)
pleasant perspective
(-3.75%)
pleasant post processing
(0.84%)
pleasant reflection
(-3.06%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-18.66%)
well chosen subject
(7.74%)
well framed subject
(-42.24%)
well timed shot
(13.26%)
all
(-2.98%)
* 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.