Photos | Benjamin Goldwasser Rocks the Stage with his Electronic Keyboard
Benjamin Goldwasser, the lead singer and keyboardist of MGMT, performs at Coachella 2010. His trusty cord and eyeglasses accompany him as he entertains the crowd with his stunning solo performance.
BLIP-2 Description:
a man in glasses playing an electronic keyboardChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
art urban instrument cord rekognition_c recreation glasses music musician performing goldwasser coachella musical eyeglasses keyboard entertainer singing equipment optical arts singer device concert leisure activities performer stage lighting solo microphone playing rock performance benjamin saturday keyboards accessories electrical crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
200mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(57.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.46%)
harmonious color
(8.35%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(11.17%)
intrusive object presence
(-32.30%)
lively color
(-18.49%)
low light
(94.82%)
noise
(-18.41%)
pleasant camera tilt
(-3.09%)
pleasant composition
(-40.36%)
pleasant lighting
(-14.98%)
pleasant pattern
(1.15%)
pleasant perspective
(12.76%)
pleasant post processing
(11.35%)
pleasant reflection
(-2.00%)
pleasant symmetry
(0.46%)
sharply focused subject
(7.13%)
tastefully blurred
(34.79%)
well chosen subject
(14.05%)
well framed subject
(67.87%)
well timed shot
(20.54%)
all
(5.03%)
* 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.