Photos | The Cure rocks Coachella 2009

Robert Smith and his bandmates perform on stage, wowing the crowd with their musical talent and electric energy. The guitars, drums and speakers fill the air with The Cure's iconic sound, making for an unforgettable concert experience.
BLIP-2 Description:
the cure, the cure, the cure, the cure, the cure, the cure, theMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Location:
string activities necklace robert urban rock leisure music speaker stage microphone musical instrument performing arts musician entertainer guitarist performance art smith coachella rekognition_c electronics drum performer jewelry group performance accessories musical electric instrument recreation band speakers lighting orange device guitar cup concert crowd singer electrical
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
200mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-04-19T22:23:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.89%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.54%)
harmonious color
(12.67%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(36.57%)
intrusive object presence
(-16.33%)
lively color
(-2.85%)
low light
(98.83%)
noise
(-4.20%)
pleasant camera tilt
(-3.39%)
pleasant composition
(-26.73%)
pleasant lighting
(6.26%)
pleasant pattern
(8.25%)
pleasant perspective
(9.63%)
pleasant post processing
(8.02%)
pleasant reflection
(3.43%)
pleasant symmetry
(1.59%)
sharply focused subject
(3.93%)
tastefully blurred
(14.03%)
well chosen subject
(-4.68%)
well framed subject
(30.08%)
well timed shot
(20.17%)
all
(8.53%)
* 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.