Photos | Coachella 2011 Friday Night Lights
Sabine Schmitz, Michael Costello, Gesias Cavalcante, Zhou Peng, and Burt Lancaster were among the 39 people in the electric crowd at the rock concert, basking in the spotlight on stage. The vibrant lighting, accessories, and clothing added to the fun atmosphere of the urban night life.
BLIP-2 Description:
a crowd of people at a concert with a stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet spotlight urban rock speaker peng stage arts hat wristwatch performing performance party michael art fun gesias cavalcante glasses friday indoors audience burt lancaster coachella life electronics theater jewelry light accessories night recreation costello lighting zhou sabine schmitz concert crowd
iso
320
metering mode
2
aperture
f/2.8
focal length
16mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-04-15T23:28:11.370000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.81%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.23%)
failure
(-0.42%)
harmonious color
(-1.27%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-30.79%)
intrusive object presence
(-22.83%)
lively color
(-18.93%)
low light
(97.71%)
noise
(-1.86%)
pleasant camera tilt
(-16.05%)
pleasant composition
(-86.87%)
pleasant lighting
(-66.31%)
pleasant pattern
(3.69%)
pleasant perspective
(-0.53%)
pleasant post processing
(-1.39%)
pleasant reflection
(3.25%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.07%)
tastefully blurred
(1.58%)
well chosen subject
(4.20%)
well framed subject
(-51.66%)
well timed shot
(20.39%)
all
(-7.91%)
* 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.