Photos | The 1975 Rocking Coachella
Laurent Brancowitz and Thomas Mars of The 1975 give a powerful performance in front of a massive crowd at Coachella Weekend 2. The stage lighting and electrifying guitars add to the energetic atmosphere of this unforgettable rock concert.
BLIP-2 Description:
the 1975 - the 1975 - the 1975 - the 1975 - the 1975 - the 1975 - theChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
lighting instrument speaker outdoors activities band group recreation day musician weekend laurent coachella accessories performer rock brancowitz performance glasses crowd musical singer guitar concert music string entertainer piano rekognition_c stage leisure thomas mars art performing arts nature keyboard weather electronics
iso
640
metering mode
5
aperture
f/2.8
focal length
120mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2010-07-18T10:04:31.040000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-2.27%)
harmonious color
(2.90%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(1.46%)
intrusive object presence
(-9.30%)
lively color
(-7.80%)
low light
(99.71%)
noise
(-13.09%)
pleasant camera tilt
(-1.86%)
pleasant composition
(-39.36%)
pleasant lighting
(-30.25%)
pleasant pattern
(6.10%)
pleasant perspective
(0.02%)
pleasant post processing
(4.17%)
pleasant reflection
(4.66%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.42%)
tastefully blurred
(-10.16%)
well chosen subject
(0.44%)
well framed subject
(-29.59%)
well timed shot
(29.69%)
all
(2.41%)
* 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
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