Photos | The Giant Crowd at DEF CON
Meg Tilly speaks to a packed room of 45 people in a hall filled with electronics, screens, and computer hardware at DEF CON 2011.
BLIP-2 Description:
a large crowd of people in a large hallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting machine speaker room urban apple ml floor tilly negative consumer hardware screen consumer electronics lamp projection lecture tv seminar summer cinema pc indoors bag accessories jewelry august glasses footwear building architecture crowd airport backpack monitor mark audience canon meg eos computer flooring handbag television rekognition_c defcon hat ii center nori entertainment electronics necklace shoe
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2011-08-03T18:41:54.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.97%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.51%)
harmonious color
(2.26%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-79.79%)
intrusive object presence
(-7.93%)
lively color
(-33.76%)
low light
(45.34%)
noise
(-0.76%)
pleasant camera tilt
(-15.94%)
pleasant composition
(-92.92%)
pleasant lighting
(-63.87%)
pleasant pattern
(3.52%)
pleasant perspective
(-5.83%)
pleasant post processing
(1.28%)
pleasant reflection
(1.03%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.05%)
tastefully blurred
(-32.03%)
well chosen subject
(21.37%)
well framed subject
(-79.64%)
well timed shot
(-5.66%)
all
(-11.90%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.