Photos | Sheep List Displayed on Screen at DEFCON 17
A monitor shows a document with a list of sheep, displayed during DEFCON 17 in August 2009. People can be seen in the background, observing the electronics hardware.
BLIP-2 Description:
a screen showing a list of sheepMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
aaaxs 北 tim projection http pmwwp rob org eav flanagun sc www wall сув spencersecurity pass addr sheep reserved eset tv securityproof noekat 水 点 wallofsheep news bad document twitter 门 estech hardware login blueminder ™ electronics defcon analyzing inc application jedneedle menu g mac screen 美 traffi rights text giganews 瓜 monitor computer copyright ricardo teg 来
Detected Text
10.127 14837110 154 158 16 2001 2009 209.222.158.136 213.232.93.3 216.196.97.130 218.2 72.20.33.91 72.246.28.52 addr all analyzing copyright eav flanagun g login mac news pass pmwwp ricardo rob sc sheep tim traffi u3 www y aaaxs application bad blueminder com eset estech giganews http inc jb3n jedneedle noekat of org reserved rights securityproof spencersecurity teg twitter wall wallofsheep we сув ™ 北 来 水 点 瓜 美 门
iso
1600
metering mode
5
aperture
f/2.8
focal length
58mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(21.89%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.10%)
failure
(-0.34%)
harmonious color
(0.56%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-52.59%)
intrusive object presence
(-4.05%)
lively color
(-4.68%)
low light
(4.69%)
noise
(-2.73%)
pleasant camera tilt
(-9.81%)
pleasant composition
(2.71%)
pleasant lighting
(-28.86%)
pleasant pattern
(7.50%)
pleasant perspective
(21.40%)
pleasant post processing
(-6.38%)
pleasant reflection
(-3.30%)
pleasant symmetry
(3.76%)
sharply focused subject
(0.83%)
tastefully blurred
(-7.15%)
well chosen subject
(1.70%)
well framed subject
(35.11%)
well timed shot
(1.88%)
all
(1.10%)
* 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.