Photos | Unleashing the Musical Magic: Patric Leitner Rocks Coachella Stage

The crowd goes wild as Patric Leitner delivers a captivating guitar performance under the palm trees and blue sky at Coachella 2008.
BLIP-2 Description:
a man playing guitar on stage with a crowd of peopleMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
instrument speaker cinquegrana band salvatore recreation jeans tim musician sky plant tree coachella harrington ted gärdestad wristwatch bag accessories performer outdoor performance jewelry glasses footwear camera crowd musical instrument musical leisure activities guitar concert audience music patric leitner alessio scalzotto palm string cup entertainer speakers handbag stage hat group performance electronics necklace shoe
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-04-25T14:14:24-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.12%)
harmonious color
(-1.26%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-25.12%)
intrusive object presence
(-12.89%)
lively color
(6.03%)
low light
(1.25%)
noise
(-0.76%)
pleasant camera tilt
(-8.73%)
pleasant composition
(-86.72%)
pleasant lighting
(-19.91%)
pleasant pattern
(6.47%)
pleasant perspective
(4.97%)
pleasant post processing
(-3.00%)
pleasant reflection
(2.44%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.32%)
tastefully blurred
(-0.08%)
well chosen subject
(-0.03%)
well framed subject
(-59.86%)
well timed shot
(13.37%)
all
(-2.47%)
* 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.