Photos | DJ Kristy Swanson steals the show with a killer performance
Kristy Swanson shows off her deejay skills as she commands the crowd from behind the DJ table at Substance 8 13 02.
BLIP-2 Description:
a man and woman standing in front of a dj tableMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
instrument cord turntable recreation lamp plate music portrait glasses shirt electrical adam deejay musical entertainer chair hardware device concert table stage lighting junglescene sign electronics kristy swanson fine mix tuning microphone amplifier screen consumer performance stereo machine speaker substance furniture club accessories photography laptop indoors computer monitor crowd
Detected Text
overall
(23.28%)
curation
(65.16%)
highlight visibility
(5.51%)
behavioral
(70.35%)
failure
(-0.63%)
harmonious color
(-3.50%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-10.50%)
intrusive object presence
(-7.64%)
lively color
(-15.25%)
low light
(96.04%)
noise
(-18.14%)
pleasant camera tilt
(-8.95%)
pleasant composition
(-63.77%)
pleasant lighting
(-63.48%)
pleasant pattern
(3.69%)
pleasant perspective
(7.24%)
pleasant post processing
(-0.37%)
pleasant reflection
(-0.08%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.15%)
tastefully blurred
(-37.92%)
well chosen subject
(-25.00%)
well framed subject
(-2.39%)
well timed shot
(-4.50%)
all
(-9.64%)
* 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.