Photos | Garret Dillahunt rocks Coachella with a crowd frenzy
Garret Dillahunt performs on stage as the crowd goes wild at Coachella 2016. The lively atmosphere is captured through the spotlight and lighting effects, creating an unforgettable concert experience.
BLIP-2 Description:
a man standing on stage with a large crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
thursday group activities spotlight urban rock leisure music footwear stage music band arts hat performing musician performance shoe art night life garret dillahunt glasses friday coachella audience interior performer + light auditorium accessories room musical instrument recreation lighting concert crowd
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2016-04-15T16:09:26.640000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.73%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.51%)
harmonious color
(0.91%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-33.06%)
intrusive object presence
(-4.79%)
lively color
(-13.60%)
low light
(99.80%)
noise
(-1.64%)
pleasant camera tilt
(-8.09%)
pleasant composition
(-59.77%)
pleasant lighting
(-37.94%)
pleasant pattern
(15.65%)
pleasant perspective
(15.26%)
pleasant post processing
(0.88%)
pleasant reflection
(0.49%)
pleasant symmetry
(1.64%)
sharply focused subject
(0.37%)
tastefully blurred
(-1.61%)
well chosen subject
(-2.74%)
well framed subject
(-29.47%)
well timed shot
(-0.99%)
all
(-2.53%)
* 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.