Photos | Packed House at Defcon's Auditorium
Kotozakura Masakatsu addresses a crowd of over 35 people at Defcon's packed auditorium.
BLIP-2 Description:
a crowd of people in a large room with a stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture urban classroom building defcon lecture speaker footwear stage second hat jeff crowd furniture outdoor pet bag shoe land dog hardware desk camera hall glasses indoors audience pc school life path interior electronics sign theater canine screen table accessories auditorium room monitor night laptop seminar second_camera mammal animal concert computer handbag kotozakura masakatsu cinema
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2011-08-07T19:38:34.730000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.79%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.45%)
failure
(-0.93%)
harmonious color
(-1.92%)
immersiveness
(1.34%)
interaction
(1.00%)
interesting subject
(-26.32%)
intrusive object presence
(-9.28%)
lively color
(-16.66%)
low light
(29.30%)
noise
(-2.98%)
pleasant camera tilt
(-13.06%)
pleasant composition
(-79.15%)
pleasant lighting
(-33.59%)
pleasant pattern
(11.62%)
pleasant perspective
(-6.01%)
pleasant post processing
(-0.07%)
pleasant reflection
(-2.58%)
pleasant symmetry
(0.95%)
sharply focused subject
(0.20%)
tastefully blurred
(-18.81%)
well chosen subject
(3.20%)
well framed subject
(-56.54%)
well timed shot
(1.82%)
all
(-6.56%)
* 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.