Photos | The Music Master
Entertainer Nick Swardson wears headphones as he takes control of the turntable, creating an electrifying performance for the crowd at a party. Rob G and other party goers watch in awe as the speakers blast the cord-thumping beats.
BLIP-2 Description:
a man in headphones playing music at a partyMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
instrument cord turntable recreation lamp night music skyler rob respect deejay musical necklace entertainer headphones homies jewelry hardware disco junglescene lighting electronics lot machete well g played spotlight screen performance nick swardson speaker izm light speakers club accessories monitor computer
Detected Text
overall
(35.03%)
curation
(65.34%)
highlight visibility
(5.52%)
behavioral
(70.39%)
failure
(-0.22%)
harmonious color
(1.36%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-27.73%)
intrusive object presence
(-17.02%)
lively color
(-13.10%)
low light
(93.70%)
noise
(-7.74%)
pleasant camera tilt
(-13.28%)
pleasant composition
(-74.17%)
pleasant lighting
(-49.37%)
pleasant pattern
(3.78%)
pleasant perspective
(0.60%)
pleasant post processing
(9.32%)
pleasant reflection
(-5.26%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.32%)
tastefully blurred
(-0.02%)
well chosen subject
(-7.20%)
well framed subject
(14.99%)
well timed shot
(21.31%)
all
(-4.94%)
* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.