Photos | Sheep Inventory Display

A monitor displaying a list of sheep at Defcon 17 in 2009.
BLIP-2 Description:
a large screen with a list of sheep on itMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
yen bla gin domain estech lo computer tim dutchtechies tv pod spencersecurity projection trustedopinion addr ip serwrityproof 辣 rob nofilmincamera document pass inc facebook menu che x blackboard iphone 水 int text hardware application org eav mac http screen twitter electronics redshiftnetworks pop bad 北 加 defcon ricardo monitor eset first blueminder
Detected Text
07189077 10.104.0.180 110 128 141.233.175.175 154 1997320 209.237.227.60 211.233.87.165 213.51.146.46 220 3 40106 41 500 59 64 69 842 addr application bad bla blue9057 blueminder che com domain dutchtechies eav eset estech facebook first gin http inc int ip iphone lo m mac nofilmincamera org pass pod pop redshiftnetworks ricardo rob serwrityproof spencersecurity the tim trustedopinion twitter u56 w x yen 加 北 水 辣
iso
1600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2009-08-01T16:05:31.580000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.90%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.09%)
failure
(-0.24%)
harmonious color
(1.86%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-69.97%)
intrusive object presence
(-2.29%)
lively color
(-0.93%)
low light
(5.54%)
noise
(-1.29%)
pleasant camera tilt
(-9.66%)
pleasant composition
(6.37%)
pleasant lighting
(-24.54%)
pleasant pattern
(11.57%)
pleasant perspective
(20.36%)
pleasant post processing
(0.89%)
pleasant reflection
(-2.48%)
pleasant symmetry
(1.59%)
sharply focused subject
(0.61%)
tastefully blurred
(-4.42%)
well chosen subject
(11.66%)
well framed subject
(31.32%)
well timed shot
(-4.03%)
all
(2.49%)
* 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.