Photos | Rocking the Crowd: Two Performers Take the Stage at Coachella
Watkin Tudor Jones and a female performer sing their hearts out, accompanied by two microphones and a lively crowd at the 2010 Coachella Saturday concert. Their eclectic clothing and headgear adds to the urban vibe of the performance.
BLIP-2 Description:
two people on stage singingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet activities headgear urban rock leisure baseball music cap stage microphone hat musical instrument solo performing arts musician saturday performance art watkin tudor jones shirt coachella shorts poes jewelry performer accessories recreation es lighting device part concert crowd dancing electrical
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
-0.67
focal length
170mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2010-04-17T23:52:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-1.05%)
harmonious color
(1.15%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(29.54%)
intrusive object presence
(-17.97%)
lively color
(-30.93%)
low light
(99.51%)
noise
(-12.08%)
pleasant camera tilt
(-2.71%)
pleasant composition
(-33.45%)
pleasant lighting
(-25.54%)
pleasant pattern
(3.44%)
pleasant perspective
(11.00%)
pleasant post processing
(-11.43%)
pleasant reflection
(0.65%)
pleasant symmetry
(0.54%)
sharply focused subject
(1.88%)
tastefully blurred
(12.02%)
well chosen subject
(-2.63%)
well framed subject
(38.31%)
well timed shot
(29.47%)
all
(0.15%)
* 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.