Photos | Sam Smith Rocks the Stage at Coachella 2016
Sam Smith gives an electrifying solo performance with his microphone in hand, captivating the crowd at Empire Polo Club during Coachella 2016.
BLIP-2 Description:
sam smith - the xx - the xx - the xx - the xx - the xx -Chronologically 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:
activities r ca rock singing leisure music eos stage arts microphone empire performing musician states polo entertainer saturday performance sam smith art avenue club indio coachella united electronics performer solo performance musical instrument recreation valley april spring canon lighting device part california concert earbuds crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
173mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2016-04-16T20:30:07.620000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(64.89%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.32%)
harmonious color
(6.73%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(26.29%)
intrusive object presence
(-6.64%)
lively color
(-7.20%)
low light
(83.06%)
noise
(-3.69%)
pleasant camera tilt
(-0.53%)
pleasant composition
(1.91%)
pleasant lighting
(15.91%)
pleasant pattern
(3.22%)
pleasant perspective
(5.47%)
pleasant post processing
(10.93%)
pleasant reflection
(1.43%)
pleasant symmetry
(0.29%)
sharply focused subject
(19.12%)
tastefully blurred
(41.04%)
well chosen subject
(51.37%)
well framed subject
(62.94%)
well timed shot
(10.00%)
all
(12.84%)
* 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.