Photos | Nightclub DJ in Action
Michael Z spinning records and entertaining the crowd at Club Respect on November 20, 2003, with Ankita Shorey and other club-goers visible in the background.
BLIP-2 Description:
a man in a red shirt playing a turntableMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
urban instrument turntable recreation night bracelet music baby glasses old cap ankita shorey bag respect interior deejay musical necklace entertainer container record cd jewelry device table disco junglescene electronics handbag z media nightclub microphone michael room wristwatch performance player baseball hat bottle furniture club accessories electrical crowd
Detected Text
overall
(13.88%)
curation
(65.27%)
highlight visibility
(5.52%)
behavioral
(70.49%)
failure
(-1.51%)
harmonious color
(-0.12%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-59.42%)
intrusive object presence
(-18.38%)
lively color
(-0.72%)
low light
(99.85%)
noise
(-18.92%)
pleasant camera tilt
(-10.94%)
pleasant composition
(-88.38%)
pleasant lighting
(-76.90%)
pleasant pattern
(2.88%)
pleasant perspective
(-20.36%)
pleasant post processing
(2.80%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.17%)
tastefully blurred
(-9.83%)
well chosen subject
(-17.65%)
well framed subject
(-52.00%)
well timed shot
(-7.15%)
all
(-14.01%)
* 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.