Photos | Food and Fun at DEFCON 17
DJ Astrid Raenovic and friends gather around a table filled with food and drinks during DEFCON 17, a conference for hackers and cybersecurity professionals. Amidst the office supplies, posters, and clothing, they enjoy snacks from cartons and containers while discussing their latest projects and interests.
BLIP-2 Description:
a group of people standing around a table with food and drinksMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
tshirt advertisement box sweets factory bracelet glasses restaurant transportation poster bag brother tension shorts food shelf feather container t-shirt cafeteria manufacturing jewelry car document carton shop building grocery sign handbag store defcon astrid radisc jockeyenovic office geek cardboard shopping cup vehicle architecture accessories supplies indoors market big
iso
1600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
overall
(38.62%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.32%)
harmonious color
(-0.02%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(3.02%)
intrusive object presence
(-9.91%)
lively color
(1.38%)
low light
(3.27%)
noise
(-3.56%)
pleasant camera tilt
(-6.22%)
pleasant composition
(-67.04%)
pleasant lighting
(-21.56%)
pleasant pattern
(3.44%)
pleasant perspective
(2.56%)
pleasant post processing
(-3.60%)
pleasant reflection
(-1.75%)
pleasant symmetry
(0.20%)
sharply focused subject
(1.66%)
tastefully blurred
(3.87%)
well chosen subject
(-29.93%)
well framed subject
(-11.28%)
well timed shot
(7.61%)
all
(-3.49%)
* 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.