Photos | Gathering at Defcon 2008
Penelope Corrin and a group of 16 people in T-shirts and casual clothing stand inside a cafeteria-turned-pub, surrounded by wood and electronics, at the Defcon conference in 2008.
BLIP-2 Description:
a group of people standing in a roomChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
lighting knitwear cap couch call urban furniture long floor meds screen th t-shirt penelope corrin projection wristwatch indoors shirt accessories wood belt sleeve baseball jewelry pants pub glasses footwear cafeteria building architecture crowd cult sweater shorts cup restaurant flooring bracelet factory hat defcon electronics plywood shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
31mm
shutter speed
1/8s
camera make
Canon
camera model
lens model
date
2008-08-09T02:05:23-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(7.61%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.44%)
failure
(-2.39%)
harmonious color
(1.54%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-75.98%)
intrusive object presence
(-75.39%)
lively color
(-45.85%)
low light
(34.06%)
noise
(-3.27%)
pleasant camera tilt
(-18.19%)
pleasant composition
(-95.70%)
pleasant lighting
(-66.55%)
pleasant pattern
(2.76%)
pleasant perspective
(-13.66%)
pleasant post processing
(3.79%)
pleasant reflection
(-2.58%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.05%)
tastefully blurred
(-52.05%)
well chosen subject
(2.25%)
well framed subject
(-76.42%)
well timed shot
(-7.50%)
all
(-15.55%)
* 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.