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 conventionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture jeans pants feather classroom building baseball defcon publication geek tension baby cap luggage hat crowd board restaurant furniture text carton container bag manufacturing men's document sitting bump white machine reys shirt elec books poster glasses indoors shorts factory school book electronics sign lockpicks women's wrench table accessories room lockpick market headphones t-shirt bazaar couch home workshop decor tubular advertisement de shop handbag linen box bottle
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.