Photos | Drumming up the Crowd
Anderson .Paak takes the stage with his drum set, electrifying the crowd in Winchester during his 2019 concert. One man stands in the background as the performer takes center stage.
BLIP-2 Description:
a man on stage with a drum set and a man in the backgroundChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
activities anderson .paak urban rock leisure portrait music stage arts microphone performing solo musician guitarist performance art glasses performer group performance drummer accessories musical instrument recreation band percussion lighting device photography guitar rock concert concert crowd drum electrical
iso
80
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.14
longitude
-115.16
shutter speed
1/100s
camera make
Apple
camera model
lens model
date
2019-12-05T22:55:04.541000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(14.94%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-2.20%)
harmonious color
(-1.32%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(-57.13%)
intrusive object presence
(-38.55%)
lively color
(-8.63%)
low light
(40.01%)
noise
(-11.18%)
pleasant camera tilt
(-8.05%)
pleasant composition
(-47.02%)
pleasant lighting
(-49.22%)
pleasant pattern
(3.76%)
pleasant perspective
(-16.15%)
pleasant post processing
(-7.74%)
pleasant reflection
(-4.16%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.81%)
tastefully blurred
(-4.58%)
well chosen subject
(-32.42%)
well framed subject
(-8.25%)
well timed shot
(-1.55%)
all
(-9.84%)
* 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.