Photos | Drumming Up a Crowd
A woman with long hair entertains the audience with her drumming skills at Coachella 2012, while Ed Roland and others perform on stage under bright lights and booming speakers.
BLIP-2 Description:
a woman with long hair playing a drum on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban percussion band glove floor device recreation lamp musician coachella drum spotlight accessories cord performer rock jewelry performance drummer glasses footwear crowd musical instrument guitarist musical solo leisure activities guitar concert music light ed roland entertainer electrical speakers stage art performing arts microphone group performance electronics necklace shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
19mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2012-04-15T16:53:01.650000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.32%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-0.27%)
harmonious color
(3.94%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(39.43%)
intrusive object presence
(-30.08%)
lively color
(-29.59%)
low light
(95.65%)
noise
(-3.05%)
pleasant camera tilt
(-7.30%)
pleasant composition
(-56.20%)
pleasant lighting
(-18.76%)
pleasant pattern
(3.91%)
pleasant perspective
(16.65%)
pleasant post processing
(3.73%)
pleasant reflection
(-0.58%)
pleasant symmetry
(1.71%)
sharply focused subject
(0.49%)
tastefully blurred
(-17.79%)
well chosen subject
(-23.36%)
well framed subject
(4.81%)
well timed shot
(20.90%)
all
(0.04%)
* 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.