Photos | Ted King performs at Coachella in 2008

The crowd cheers as Ted King takes the stage against a backdrop of blue skies, palm trees, and speakers at the 2008 Coachella music festival.
BLIP-2 Description:
a man standing on stage in front of a crowdMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
speech bracelet activities plant charlie mcdermott leisure music speaker footwear dylan baby stage ted musical instrument hat microphone tree musician outdoor zack pearlman performance sky shoe bag paul land king glove renu margrate glasses coachella audience construction cord sunglasses electronics rekognition_c grass performer jewelry molitor group performance accessories crane recreation handbag band speakers alcott device palm concert crowd electrical
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2008-04-26T12:36:57-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.02%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.20%)
harmonious color
(-0.15%)
immersiveness
(2.91%)
interaction
(1.00%)
interesting subject
(-9.81%)
intrusive object presence
(-7.93%)
lively color
(2.86%)
low light
(0.68%)
noise
(-1.17%)
pleasant camera tilt
(-9.39%)
pleasant composition
(-72.80%)
pleasant lighting
(-19.19%)
pleasant pattern
(8.03%)
pleasant perspective
(5.73%)
pleasant post processing
(-0.41%)
pleasant reflection
(1.75%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.51%)
tastefully blurred
(4.47%)
well chosen subject
(4.24%)
well framed subject
(-55.71%)
well timed shot
(9.34%)
all
(-0.81%)
* 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.