Photos | Day 1 Defcon Performance
Valentino Campitelli and Jeff M entertain the crowd with music and machines at the Defcon 2013 conference.
BLIP-2 Description:
defcon 2013 - day 1Chronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet summer uniform activities necklace leisure defcon music chair footwear eos conference microphone wristwatch jeff musician furniture entertainer moss performance shoe ii machine desk camera glasses shorts belt defo deejay cord banner defc sign electronics jewelry performer mark photos/defcon press table accessories group performance dc musical instrument recreation turntable august t-shirt band canon sports device plate valentino campitelli cup concert team crowd electrical
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2010-08-01T18:38:20.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.78%)
curation
(65.53%)
highlight visibility
(5.54%)
behavioral
(70.42%)
failure
(-0.20%)
harmonious color
(-0.95%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(25.78%)
intrusive object presence
(-15.53%)
lively color
(-21.45%)
low light
(76.17%)
noise
(-1.07%)
pleasant camera tilt
(-1.93%)
pleasant composition
(-53.71%)
pleasant lighting
(-40.19%)
pleasant pattern
(7.71%)
pleasant perspective
(5.67%)
pleasant post processing
(-2.62%)
pleasant reflection
(0.14%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.73%)
tastefully blurred
(-5.69%)
well chosen subject
(-19.52%)
well framed subject
(-0.83%)
well timed shot
(16.77%)
all
(-3.21%)
* 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.