Photos | Sheep Inventory Screen
A person stands near a large screen displaying a detailed inventory of sheep during the 2009 Defcon 17 conference.
BLIP-2 Description:
a large screen with a list of sheep on itMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
九 bla tim agentgambell projection org eav flanagun sc www wall kineartech pass addr sheep dgnic reserved spencersecurity securityproof pep tv hanifes tennis x wallofsheep bad document twitter hardware estech hackdev tennis ball login blueminder electronics sla defcon analyzing inc domain application jedneedle menu mac habamxwwx pop k screen ball ip traffi rights text sport facebook monitor computer copyright ricardo 来
Detected Text
07189077 137 14837110 154 16x 2001 2009 213.51.146.46 218.210.127 72.246.28.52 7g 84 addr all analyzing as bla copyright domain eav facebook flanagun ip k login m mac pass pep pop ricardo sc sheep t tim traffi www x agentgambell application bad blue9057 blueminder com dgnic estech habamxwwx hackdev hanifes inc j3m jedneedle kineartech of org reserved rights s securityproof sla spencersecurity twitter wall wallofsheep 九 来
iso
1600
metering mode
5
aperture
f/2.8
focal length
63mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(9.20%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.12%)
failure
(-0.56%)
harmonious color
(-2.38%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-75.05%)
intrusive object presence
(-4.10%)
lively color
(-13.77%)
low light
(2.95%)
noise
(-1.59%)
pleasant camera tilt
(-12.34%)
pleasant composition
(-11.02%)
pleasant lighting
(-34.79%)
pleasant pattern
(6.03%)
pleasant perspective
(11.91%)
pleasant post processing
(-10.29%)
pleasant reflection
(-2.71%)
pleasant symmetry
(2.56%)
sharply focused subject
(0.49%)
tastefully blurred
(-12.67%)
well chosen subject
(6.58%)
well framed subject
(17.91%)
well timed shot
(-0.80%)
all
(-3.35%)
* 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.