Photos | Concert Chaos
A massive crowd gathers for an unforgettable performance at Coachella 2016, including Michael Cudlitz, Dylan Geick, Oliver Bender, Chris Conte, Kalindi Commerford, Cole Bennett, and Maikel Delacalle.
BLIP-2 Description:
a large crowd of people at a music festivalChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
8688w x 5792h - (download 4k)
Usage
Dominant Color:
Location:
thursday cudlitz spotlight urban festival delacalle cole bennett hat maikel performance balloon vacation party michael fun kalindi glasses friday coachella audience life rekognition_c commerford + light bender accessories chris conte night recreation spring dylan geick oliver concert tourist crowd break
iso
100
metering mode
5
aperture
f/4.5
focal length
70mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2016-04-15T15:09:56.150000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.96%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.31%)
failure
(-0.98%)
harmonious color
(4.71%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-21.26%)
intrusive object presence
(-10.72%)
lively color
(-5.74%)
low light
(68.90%)
noise
(-2.25%)
pleasant camera tilt
(-9.82%)
pleasant composition
(-53.27%)
pleasant lighting
(-51.42%)
pleasant pattern
(20.26%)
pleasant perspective
(6.70%)
pleasant post processing
(0.52%)
pleasant reflection
(-2.33%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.88%)
tastefully blurred
(-11.70%)
well chosen subject
(-3.48%)
well framed subject
(-36.30%)
well timed shot
(9.77%)
all
(-3.29%)
* 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.