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
architecture group activities spotlight rock classroom building fence leisure music speaker footwear stage microphone hat crowd musician performance bag shoe hall glasses indoors coachella audience school rekognition_c electronics theater mobile phone performer light accessories auditorium room musical instrument recreation headphones band elliot speakers lighting device giles phone guitar concert handbag electrical
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.