Photos | Group Poses for Photo at DEFCON 17 Convention

Thirteen people, including three adults and two women, pose for a photo at DEFCON 17 while wearing T-shirts and hats and holding various items, such as handbags and glasses. An advertisement poster and whiteboard can be seen in the background amidst the crowded room filled with furniture, tables, and electronics.
BLIP-2 Description:
a group of people posing for a photo at a conventionMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
men's machine cap room couch furniture container decor reys tension baby poster jeans sitting home t-shirt market tubular de linen lockpicks bump indoors shirt lockpick sign wrench accessories bag baseball workshop women's pants bottle glasses building architecture luggage geek crowd shop white classroom manufacturing text table shorts elec carton restaurant handbag books bazaar school box factory book advertisement board hat publication defcon headphones electronics document feather
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
2009-08-02T15:01:23.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.52%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.22%)
harmonious color
(0.36%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-18.93%)
intrusive object presence
(-10.30%)
lively color
(2.36%)
low light
(6.67%)
noise
(-6.15%)
pleasant camera tilt
(-6.38%)
pleasant composition
(-76.86%)
pleasant lighting
(-25.32%)
pleasant pattern
(3.03%)
pleasant perspective
(-0.85%)
pleasant post processing
(-0.03%)
pleasant reflection
(-3.02%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.42%)
tastefully blurred
(-7.72%)
well chosen subject
(-43.58%)
well framed subject
(-22.03%)
well timed shot
(-5.55%)
all
(-6.87%)
* 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.