Photos | Electric Performance at Coachella
A massive crowd gathers inside the tent to witness an electrifying performance by the band while the spotlight illuminates the stage at Coachella 2011.
BLIP-2 Description:
a large crowd of people in a tent watching a bandChronologically 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:
lighting speaker room chillinit urban inès reg nobuyoshi theater device recreation coachella spotlight indoors accessories bag rock performance auditorium stretton glasses footwear crowd friday concert audience interior light mobile phone jessica hokutoumi electrical pankhurst handbag christabel hall rekognition_c stage hat microphone electronics shoe
iso
4000
metering mode
2
aperture
f/2.8
focal length
16mm
shutter speed
1/20s
camera make
Canon
camera model
lens model
date
2011-04-15T23:32:27.020000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.63%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.93%)
harmonious color
(7.35%)
immersiveness
(1.49%)
interaction
(1.00%)
interesting subject
(1.82%)
intrusive object presence
(-26.95%)
lively color
(-26.03%)
low light
(79.25%)
noise
(-4.49%)
pleasant camera tilt
(-13.75%)
pleasant composition
(-72.12%)
pleasant lighting
(-28.83%)
pleasant pattern
(7.64%)
pleasant perspective
(4.90%)
pleasant post processing
(8.11%)
pleasant reflection
(4.79%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.17%)
tastefully blurred
(-14.77%)
well chosen subject
(3.55%)
well framed subject
(-48.34%)
well timed shot
(24.02%)
all
(-0.34%)
* 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.