Photos | DJ Craze Rocks the Crowd
DJ Craze and MC Q entertain a packed house with their music and electrifying performance, as a sea of people move to the beats he creates behind his laptop and decks.
BLIP-2 Description:
a man standing in front of a dj table with a crowd of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture bracelet headgear jeans urban craze pub building baseball music cap musical instrument wristwatch hat microphone studio entertainer performance manufacturing glove hardware machine club shirt factory indoors audience pc life deejay rekognition_c electronics jewelry screen accessories room monitor night recreation headphones speakers laptop mc q device part back computer dj crowd consumer electrical
iso
100
metering mode
6
aperture
f/4
focal length
17mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2006-04-27T01:29:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.22%)
curation
(68.64%)
highlight visibility
(5.78%)
behavioral
(70.66%)
failure
(-0.39%)
harmonious color
(1.39%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-61.18%)
intrusive object presence
(-35.16%)
lively color
(-6.82%)
low light
(98.10%)
noise
(-2.61%)
pleasant camera tilt
(-8.48%)
pleasant composition
(-93.60%)
pleasant lighting
(-37.28%)
pleasant pattern
(1.22%)
pleasant perspective
(-6.85%)
pleasant post processing
(1.75%)
pleasant reflection
(3.64%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.15%)
tastefully blurred
(-11.25%)
well chosen subject
(-18.92%)
well framed subject
(-59.08%)
well timed shot
(11.85%)
all
(-7.33%)
* 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.