Photos | Chris Baio Rocks Cochella Stage with his Guitar and Camera

Entertainer Chris Baio electrifies the crowd with an awe-inspiring guitar performance, striking a pose amid the bright lights while capturing the moment with his camera at the 2010 Cochella Friday concert.
BLIP-2 Description:
a man playing guitar on stage with a cameraMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
string activities baio electric guitar spotlight urban rock leisure chris music stage microphone performing arts musician two entertainer guitarist dupes performance cochella art chordophone friday headset rekognition_c performer light group performance musical vr instrument possible recreation band lighting device guitar rock concert concert crowd singer electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2010-04-16T22:32:39.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.79%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-2.22%)
harmonious color
(1.13%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-0.40%)
intrusive object presence
(-12.38%)
lively color
(-41.41%)
low light
(100.00%)
noise
(-7.74%)
pleasant camera tilt
(-8.34%)
pleasant composition
(-65.23%)
pleasant lighting
(-56.69%)
pleasant pattern
(2.08%)
pleasant perspective
(3.19%)
pleasant post processing
(0.47%)
pleasant reflection
(0.12%)
pleasant symmetry
(1.00%)
sharply focused subject
(0.51%)
tastefully blurred
(-22.08%)
well chosen subject
(-19.64%)
well framed subject
(20.79%)
well timed shot
(18.88%)
all
(-6.74%)
* 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.