Photos | Graham Coxon Addresses the Crowd at Defcon 18
Musician and speaker Graham Coxon stands confidently in front of a packed room of 15 people at Defcon 18, delivering a lecture on urban culture and fashion while pointing to a sign on the table behind him. The audience listens intently, sitting in chairs and on the floor, wearing jeans and various accessories, glasses and footwear.
BLIP-2 Description:
a man standing in front of a group of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
pc urban box flooring night jeans glasses forensics footwear bag teen school floor network sitting chair puzzle contest dc seminar table building lighting sign electronics shoe handbag win defcon boy debate classroom room lecture architecture life hat speech furniture audience photos/defcon accessories laptop indoors computer graham coxon crowd free
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
overall
(32.08%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.53%)
failure
(-0.49%)
harmonious color
(-0.24%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-32.67%)
intrusive object presence
(-15.50%)
lively color
(-20.56%)
low light
(90.58%)
noise
(-4.66%)
pleasant camera tilt
(-4.80%)
pleasant composition
(-78.71%)
pleasant lighting
(-43.85%)
pleasant pattern
(5.83%)
pleasant perspective
(-2.82%)
pleasant post processing
(2.19%)
pleasant reflection
(6.82%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.42%)
tastefully blurred
(-16.52%)
well chosen subject
(-28.15%)
well framed subject
(-44.46%)
well timed shot
(1.20%)
all
(-7.86%)
* 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.