Photos | Defcon 17: Convention Goers Strike a Pose
Thirteen attendees of Defcon 17 gather for a group photo, showcasing their T-shirts, handbags, and poster advertisements. Among the crowd are three women and two men, all dressed in casual clothing and accessories. The shot is taken indoors, surrounded by tables, furniture, and other attendees.
BLIP-2 Description:
a group of people posing for a photo at a conventionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture tie tin cafeteria jeans formal pants feather ton classroom building defcon food geek tension plywood cap luggage hat crowd board purse furniture lock restaurant text carton court container bag keys manufacturing wood sitting bump white shirt desk shelf books poster glasses indoors shorts factory school pc pick helmet wear electronics sign lockpicks wrench table accessories room market t-shirt couch laptop home workshop decor lec advertisement computer handbag linen box
Detected Text
iso
1600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2009-08-02T15:01:25.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.12%)
harmonious color
(0.15%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-3.55%)
intrusive object presence
(-13.04%)
lively color
(1.38%)
low light
(5.03%)
noise
(-2.71%)
pleasant camera tilt
(-6.48%)
pleasant composition
(-81.01%)
pleasant lighting
(-20.91%)
pleasant pattern
(2.44%)
pleasant perspective
(2.13%)
pleasant post processing
(-0.69%)
pleasant reflection
(-0.10%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.42%)
tastefully blurred
(-10.83%)
well chosen subject
(-42.48%)
well framed subject
(-14.90%)
well timed shot
(3.82%)
all
(-5.46%)
* 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.