Photos | Concertgoers Jam-Packed in a Tent at Coachella

Daniel Ricciardo, Zhang Zhenwang, Scott Goodman, Alexandre Ponomarenko, and 22 others enjoy the music at the 2010 Coachella music festival.
BLIP-2 Description:
a crowd of people in a tent watching a concertMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture boy zhang zhenwang classroom building lecture music speaker footwear goodman stage hat wristwatch saturday performance shoe bag alexandre ponomarenko scott daniel hardware ricciardo hall glasses indoors coachella audience teen school pc interior rekognition_c electronics theater backpack screen room auditorium accessories monitor recreation handbag speakers laptop cup concert computer crowd cinema
iso
800
metering mode
5
aperture
f/4
exposure bias
1
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2010-04-17T16:40:52.320000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.97%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.44%)
harmonious color
(0.23%)
immersiveness
(3.15%)
interaction
(1.00%)
interesting subject
(16.27%)
intrusive object presence
(-8.67%)
lively color
(-15.04%)
low light
(73.24%)
noise
(-2.32%)
pleasant camera tilt
(-11.03%)
pleasant composition
(-52.05%)
pleasant lighting
(-29.22%)
pleasant pattern
(16.87%)
pleasant perspective
(16.02%)
pleasant post processing
(3.41%)
pleasant reflection
(1.17%)
pleasant symmetry
(3.32%)
sharply focused subject
(0.44%)
tastefully blurred
(-5.37%)
well chosen subject
(-1.25%)
well framed subject
(-28.34%)
well timed shot
(14.25%)
all
(0.89%)
* 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.