Photos | Lights, Speakers, Music: A Night to Remember
Chris Baio and his bandmates perform at Cochella 2010, showcasing their musical prowess under the glow of colorful lights and powerful speakers.
BLIP-2 Description:
a band playing on stage at night with lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
string activities baio spotlight urban rock leisure chris music speaker stage musical instrument microphone performing arts musician two entertainer guitarist dupes performance cochella art friday belt life vampi rekognition_c electronics drum performer light group performance accessories musical instrument night possible recreation band speakers lighting device guitar cup concert crowd singer mpire electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2010-04-16T22:32:37.290000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.72%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-1.64%)
harmonious color
(4.83%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-25.49%)
intrusive object presence
(-11.25%)
lively color
(-38.70%)
low light
(100.00%)
noise
(-7.40%)
pleasant camera tilt
(-9.86%)
pleasant composition
(-79.15%)
pleasant lighting
(-51.51%)
pleasant pattern
(2.69%)
pleasant perspective
(-8.04%)
pleasant post processing
(8.62%)
pleasant reflection
(0.66%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.27%)
tastefully blurred
(-18.01%)
well chosen subject
(-8.74%)
well framed subject
(-36.21%)
well timed shot
(7.31%)
all
(-7.39%)
* 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.