Photos | Boris Grebenshchikov Rocks the Crowd at Coachella 2009
Entertainer Boris Grebenshchikov raises his arms in triumph under the bright lights of the spotlight during his solo performance at the 2009 Coachella music festival. The crowd goes wild as he sings his heart out in his classic jeans and casual clothing.
BLIP-2 Description:
a person on stage with their arms up in the airChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
art urban recreation jeans bracelet cap performing arts footwear bag coachella entertainer singer jewelry device concert baseball cap performer stage lighting solo electronics shoe handbag photographer microphone boris grebenshchikov pants rock spotlight camping performance hat light accessories electrical crowd
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(32.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-1.07%)
harmonious color
(-0.80%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(21.03%)
intrusive object presence
(-13.67%)
lively color
(-13.65%)
low light
(99.22%)
noise
(-9.81%)
pleasant camera tilt
(-5.37%)
pleasant composition
(-29.42%)
pleasant lighting
(-38.55%)
pleasant pattern
(5.25%)
pleasant perspective
(-2.98%)
pleasant post processing
(-14.88%)
pleasant reflection
(-2.11%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.68%)
tastefully blurred
(-19.43%)
well chosen subject
(-6.81%)
well framed subject
(31.71%)
well timed shot
(20.01%)
all
(-2.97%)
* 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.