Photos | DJ Patife performs live at United Events
DJ Patife captivates the crowd with his mixing skills at the United Events held in July 2012. The banner and sign in the background adds to the festive vibe of the event.
BLIP-2 Description:
united events - dj mix - july 2012 - photo - 0Chronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
instrument cord turntable recreation bracelet music old bride dj patife deejay musical necklace entertainer bluebeat jewelry hardware night club wedding junglescene sign kitchen electronics mouse indoors performance baseball speaker dj hat banner speakers club accessories headgear cooktop computer cap
Detected Text
overall
(27.29%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.37%)
harmonious color
(-0.67%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-8.29%)
intrusive object presence
(-5.05%)
lively color
(13.92%)
low light
(97.51%)
noise
(-10.38%)
pleasant camera tilt
(-9.86%)
pleasant composition
(-58.01%)
pleasant lighting
(-54.10%)
pleasant pattern
(5.79%)
pleasant perspective
(-7.73%)
pleasant post processing
(-2.20%)
pleasant reflection
(-0.88%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.46%)
tastefully blurred
(2.91%)
well chosen subject
(-36.13%)
well framed subject
(-13.26%)
well timed shot
(-6.98%)
all
(-8.09%)
* 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.