Photos | Morrissey Takes the Coachella Stage
The iconic singer dons jeans and a cord necklace as he performs solo at Coachella 2009, belting out hits into his signature microphone while the crowd goes wild.
BLIP-2 Description:
a man in jeans and a shirt singing into a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
2912w x 4368h - (download 4k)
Usage
Dominant Color:
activities pants coachella morrissey rekognition_c musical singer concert electrical urban performing arts part leisure rock concert lighting recreation guitar necklace device entertainer jewelry jeans crowd musician cord microphone music instrument performer performance art solo performance guitarist stage accessories singing
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
-0.67
focal length
200mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2009-04-17T20:44:16-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(64.06%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.32%)
harmonious color
(8.71%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(62.45%)
intrusive object presence
(-5.54%)
lively color
(-6.24%)
low light
(93.90%)
noise
(-4.22%)
pleasant camera tilt
(1.43%)
pleasant composition
(20.84%)
pleasant lighting
(26.56%)
pleasant pattern
(2.76%)
pleasant perspective
(5.37%)
pleasant post processing
(0.52%)
pleasant reflection
(0.97%)
pleasant symmetry
(0.39%)
sharply focused subject
(12.77%)
tastefully blurred
(24.93%)
well chosen subject
(35.72%)
well framed subject
(75.68%)
well timed shot
(24.30%)
all
(14.65%)
* 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.