Photos | The Bold Synth
A musician plays the striking red and black synthesizer with ease at the 2008 NAMM Show.
BLIP-2 Description:
a red and black synthesizer with a keyboardMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
wheel instrument rekognition_c prog morph electronic music amount midi octave ini decay musician vr switch tones shapel © sound sync hall mono osc misc proline chorus trac rel musical piano keyboard musical keyboard electric piano rate activities filter semi dec device samp performer namm chord start fine tune playing keyboards leven slot om vibrato mix single grand piano shapez leisure mode deca shift loop wurlitzer ped env pan velocity res attack sustain init digital legato electrophone program electrical freq mod
Detected Text
10 39 750 amount attack b chord chorus deca dec env freq hall ini init keyboard legato leven misc mono morph mod o om octave osc ped prog proline pan piano res rate samp shape2 shapel shapez slot semi sync tones trac velocity vibrato vr wheel a at decay filter fine loop midi mix mode program rel shift single sound start sustain tune wurlitzer ©
iso
1600
metering mode
5
aperture
f/2.8
focal length
34mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
overall
(36.62%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.32%)
failure
(-0.20%)
harmonious color
(-2.26%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-58.01%)
intrusive object presence
(-7.54%)
lively color
(8.09%)
low light
(27.27%)
noise
(-0.42%)
pleasant camera tilt
(-3.48%)
pleasant composition
(-27.12%)
pleasant lighting
(-18.86%)
pleasant pattern
(54.05%)
pleasant perspective
(3.86%)
pleasant post processing
(5.12%)
pleasant reflection
(0.56%)
pleasant symmetry
(0.78%)
sharply focused subject
(3.96%)
tastefully blurred
(20.25%)
well chosen subject
(-11.56%)
well framed subject
(40.36%)
well timed shot
(0.54%)
all
(2.19%)
* 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.