Photos | Energizing the Crowd
DJ Adam F performs on his set as the crowd gets lost in the music at a nightclub in 2007. Bob Marley, John Gulager, and MC Q among the attendees.
BLIP-2 Description:
a man playing music on a dj set in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture group activities jeans pants spotlight urban leisure building john music footwear stage wristwatch hat gulager musician entertainer performance manufacturing shoe bag glove hardware night life club factory indoors audience bob marley interior deejay electronics funktion performer screen light nightclub accessories monitor room musical instrument recreation headphones handbag band - lighting mc q concert computer crowd adam
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2007-03-01T02:02:14-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.47%)
curation
(65.70%)
highlight visibility
(5.55%)
behavioral
(70.57%)
failure
(-0.34%)
harmonious color
(-2.20%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-21.14%)
intrusive object presence
(-9.96%)
lively color
(-3.71%)
low light
(87.50%)
noise
(-4.10%)
pleasant camera tilt
(-8.83%)
pleasant composition
(-78.22%)
pleasant lighting
(-37.62%)
pleasant pattern
(5.08%)
pleasant perspective
(-1.74%)
pleasant post processing
(-3.76%)
pleasant reflection
(0.61%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.46%)
tastefully blurred
(-6.65%)
well chosen subject
(-19.73%)
well framed subject
(-36.06%)
well timed shot
(15.76%)
all
(-6.03%)
* 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.