Photos | Coachella Crowd Enjoys an Electrifying Concert Performance
Elliot Giles rocks the stage as thousands of music enthusiasts gather under the tent to enjoy the electrifying performance.
BLIP-2 Description:
a large crowd of people in a large tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
lighting instrument speaker room activities theater band mobile phone group device recreation giles musician coachella spotlight indoors accessories bag performer rock performance auditorium glasses footwear building architecture crowd musical guitar concert audience music classroom light phone electrical speakers handbag hall school rekognition_c stage leisure hat fence headphones microphone elliot electronics shoe
iso
800
metering mode
5
aperture
f/4.5
exposure bias
1
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2009-04-17T13:08:55.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.53%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.32%)
harmonious color
(-2.22%)
immersiveness
(2.76%)
interaction
(1.00%)
interesting subject
(-19.08%)
intrusive object presence
(-10.08%)
lively color
(-12.11%)
low light
(37.13%)
noise
(-1.90%)
pleasant camera tilt
(-10.48%)
pleasant composition
(-69.43%)
pleasant lighting
(-27.59%)
pleasant pattern
(20.24%)
pleasant perspective
(5.55%)
pleasant post processing
(-0.07%)
pleasant reflection
(2.02%)
pleasant symmetry
(2.08%)
sharply focused subject
(0.27%)
tastefully blurred
(-1.93%)
well chosen subject
(6.37%)
well framed subject
(-53.76%)
well timed shot
(2.15%)
all
(-2.44%)
* 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.