Photos | Zack Martin Rocks the Crowd with Epic Performance at Coachella
Zack Martin holds a massive speaker while energizing the crowd with his electrifying music at Coachella's Weekend 2, Day 2 in 2013.
BLIP-2 Description:
a man holding a large speaker on stage at a concertChronologically 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:
speech group urban rock music speaker footwear stage astronomy music band outdoors microphone hat moon wristwatch performing musician arts performance shoe bag weekend art glove glasses coachella audience zack martin nature electronics performer accessories musical instrument night recreation handbag speakers lighting device cup concert day leisure activities crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2010-07-18T07:11:14.120000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.23%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.39%)
harmonious color
(6.88%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(3.67%)
intrusive object presence
(-7.03%)
lively color
(-6.40%)
low light
(98.63%)
noise
(-2.34%)
pleasant camera tilt
(-3.46%)
pleasant composition
(-26.39%)
pleasant lighting
(-1.04%)
pleasant pattern
(10.82%)
pleasant perspective
(8.49%)
pleasant post processing
(13.17%)
pleasant reflection
(-0.32%)
pleasant symmetry
(0.59%)
sharply focused subject
(2.61%)
tastefully blurred
(23.19%)
well chosen subject
(5.30%)
well framed subject
(9.52%)
well timed shot
(17.77%)
all
(7.10%)
* 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.