Photos | MC Q energizes the crowd with electrifying performance
MC Q takes center stage at the 2006 Rave 9 3 concert, entertaining the packed nightclub with his powerful vocals and dynamic stage presence.
BLIP-2 Description:
a man standing on stage with a microphone in front of a crowdChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
rave headgear boy necklace liu urban rock shaolin baseball leonard speaker cap microphone hat wristwatch entertainer performance glove lagertha night life club shirt audience teen interior deejay rekognition_c electronics jewelry sándor accessories nightclub room night recreation lighting mc q device cup concert nimoy crowd electrical
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2006-09-03T20:22:14-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.22%)
curation
(68.27%)
highlight visibility
(5.75%)
behavioral
(70.51%)
failure
(-2.32%)
harmonious color
(-3.50%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-61.04%)
intrusive object presence
(-12.82%)
lively color
(-16.88%)
low light
(99.80%)
noise
(-8.06%)
pleasant camera tilt
(-15.87%)
pleasant composition
(-86.57%)
pleasant lighting
(-74.32%)
pleasant pattern
(2.81%)
pleasant perspective
(-14.47%)
pleasant post processing
(5.12%)
pleasant reflection
(0.16%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.12%)
tastefully blurred
(-8.93%)
well chosen subject
(-4.18%)
well framed subject
(-42.87%)
well timed shot
(3.80%)
all
(-12.17%)
* 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.
* 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.