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"Chronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
infant range vehicle canter cart breaks printed go made tionals sign tender production fits grade electronics handwriting duy shirt dealit tripod shopping yagi shelf cards baby grid defcon widel indoor furniture hardware indoors simp heavy duty crib cup mile page tobi computer portable letsmake luggage machine box rekognition_c works best heay outdoor document text dc garuntee marine seriously mouse photos/defcon parabolic get proven bed
Detected Text
1 10 10b 110b 11dbi 14.3dbi 24dbi 35 40 45 50 75 80 8miles 8dbi 8dbl best canter dealit duy duty fits get go garuntee grid heavy heay indoor luggage letsmake mile made marine outdoor over our portable production parabolic proven range seriously t tender tobi widel yagi yes a and breaks cards down grade in on shirt simp tionals to tripod works
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(20.32%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.41%)
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 with AI (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.