Photos | Coachella 2011 Night Lights

Nikolai Fadeyechev and Cassie Sharpe enjoy the electric atmosphere of the Friday night crowd at the Coachella 2011 concert.
BLIP-2 Description:
a crowd of people at a concert with a stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
architecture bracelet nikolai headgear necklace urban rock classroom building baseball mobile footwear stage sharpe lamp microphone hat wolf fadeyechev performance shoe cassie camera hall glasses friday indoors audience factory school coachella helmet rekognition_c electronics nikolai fadeyechev theater jewelry accessories auditorium room recreation cassie sharpe lighting device phone concert crowd electrical
Detected Text
iso
800
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2011-04-15T17:17:08.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.29%)
harmonious color
(-0.65%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-29.86%)
intrusive object presence
(-27.17%)
lively color
(-21.63%)
low light
(86.33%)
noise
(-2.08%)
pleasant camera tilt
(-13.07%)
pleasant composition
(-85.06%)
pleasant lighting
(-56.84%)
pleasant pattern
(8.59%)
pleasant perspective
(3.70%)
pleasant post processing
(-0.19%)
pleasant reflection
(0.92%)
pleasant symmetry
(1.39%)
sharply focused subject
(0.10%)
tastefully blurred
(2.20%)
well chosen subject
(6.10%)
well framed subject
(-38.70%)
well timed shot
(7.57%)
all
(-7.02%)
* 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.