Photos | Mix Master Mike at the Night Club
A man in a baseball hat and shirt, Mix Master Mike, entertains a crowd of eight people and two babies with his deejay skills at a nightclub on January 19, 2003. He uses a turntable and computer hardware to mix music for the audience while also sporting a pair of glasses and other accessories.
BLIP-2 Description:
a man in a hat and a shirt playing a dj setChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
headgear urban baseball music master cap baby hat night club mix mike entertainer performance old hardware machine club glasses unglescene interior deejay electronics screen nightclub accessories monitor room musical instrument recreation turntable photos/mix_master_mike cup computer dj box consumer
Detected Text
date
2003-01-19T04:17:30-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.07%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.59%)
harmonious color
(1.28%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-34.50%)
intrusive object presence
(-29.83%)
lively color
(-9.29%)
low light
(99.12%)
noise
(-31.64%)
pleasant camera tilt
(-7.67%)
pleasant composition
(-76.66%)
pleasant lighting
(-63.23%)
pleasant pattern
(3.34%)
pleasant perspective
(-3.57%)
pleasant post processing
(3.34%)
pleasant reflection
(2.12%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.27%)
tastefully blurred
(-2.88%)
well chosen subject
(-25.73%)
well framed subject
(-23.30%)
well timed shot
(12.47%)
all
(-8.64%)
* 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.