Photos | Lupe Fiasco Rocks the Coachella Stage

Lupe Fiasco electrifies the crowd with his music and style as he performs in sunglasses and a black shirt under the blue sky at Coachella on Sunday, April 29th, 2007. The microphone and electrical equipment in his hand add to the energetic atmosphere of the outdoor performance.
BLIP-2 Description:
a man in sunglasses and a black shirt on stageMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
sleeve activities sunday necklace optical leisure fence music cap ring stage equipment microphone wristwatch hat solo musician outdoor baseball cap sky performance coachella_sunday glasses lupe fiasco coachella long sunglasses jewelry performer accessories musical instrument t-shirt device part crowd electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
110mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-04-29T12:54:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.00%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.49%)
harmonious color
(3.37%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(12.60%)
intrusive object presence
(-32.54%)
lively color
(-2.45%)
low light
(37.67%)
noise
(-0.54%)
pleasant camera tilt
(-2.22%)
pleasant composition
(-33.76%)
pleasant lighting
(-4.39%)
pleasant pattern
(6.57%)
pleasant perspective
(9.32%)
pleasant post processing
(4.89%)
pleasant reflection
(0.01%)
pleasant symmetry
(1.32%)
sharply focused subject
(6.23%)
tastefully blurred
(31.15%)
well chosen subject
(11.76%)
well framed subject
(58.40%)
well timed shot
(16.37%)
all
(5.55%)
* 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.