Photos | Babysitting Bird Cage

A unique way to advertise your services, this bird cage labeled 'babysitting' caught our attention at Defcon 18 in 2010.
BLIP-2 Description:
a bird cage with a sign on it that says "babysitting"Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
canter dealit letsmake proven page simp heay indoor widel garuntee defcon mouse baby fits works luggage cards furniture outdoor text handwriting seriously duy infant document duty hardware machine production shirt shelf made indoors cart grade marine electronics sign portable rekognition_c vehicle mile tripod photos/defcon get dc best yagi bed shopping grid tionals go printed range tender parabolic cup computer crib heavy tobi box breaks
Detected Text
1 10 10b 110b 11dbi 14.3dbi 24dbi 35 40 45 50 75 80 8dbi 8dbl 8miles a and best breaks canter cards dealit down duty duy fits garuntee get go grade grid heavy heay in indoor letsmake luggage made marine mile on our outdoor over parabolic portable production proven range seriously shirt simp t tender tionals to tobi tripod widel works yagi yes
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2010-08-01T15:38:24.800000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.32%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.42%)
failure
(-0.24%)
harmonious color
(0.18%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-73.05%)
intrusive object presence
(-3.91%)
lively color
(-9.41%)
low light
(11.65%)
noise
(-3.00%)
pleasant camera tilt
(-9.47%)
pleasant composition
(-79.79%)
pleasant lighting
(-28.66%)
pleasant pattern
(9.11%)
pleasant perspective
(6.34%)
pleasant post processing
(1.34%)
pleasant reflection
(-4.13%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.68%)
tastefully blurred
(-19.13%)
well chosen subject
(4.42%)
well framed subject
(-26.29%)
well timed shot
(-2.84%)
all
(-6.29%)
* 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.