Photos | The Epic Crowd at Coachella 2016
Josh Binstock, Millie Knight, Pablo Larrazábal, Sam Fender, and Kazuki Ganaha join the massive crowd at Coachella 2016 for an unforgettable outdoor music experience.
BLIP-2 Description:
a large crowd of people in a parkChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
instrument speaker shelter outdoors urban activities band fender sam millie recreation vehicle sky musician coachella transportation indoors accessories bag performer outdoor performance thursday glasses footwear + building architecture crowd musical instrument josh binstock pablo larrazábal musical friday concert audience music airplane speakers handbag aircraft knight stage leisure hat kazuki ganaha festival group performance electronics shoe
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2016-04-15T13:01:34.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.17%)
harmonious color
(3.52%)
immersiveness
(0.95%)
interaction
(1.00%)
interesting subject
(-41.19%)
intrusive object presence
(-12.16%)
lively color
(-1.05%)
low light
(7.64%)
noise
(-1.39%)
pleasant camera tilt
(-9.59%)
pleasant composition
(-82.47%)
pleasant lighting
(-36.99%)
pleasant pattern
(8.57%)
pleasant perspective
(13.71%)
pleasant post processing
(1.50%)
pleasant reflection
(-4.32%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.20%)
tastefully blurred
(-2.48%)
well chosen subject
(9.94%)
well framed subject
(-51.86%)
well timed shot
(16.69%)
all
(-2.39%)
* 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.