Photos | Panel Discussion with Shōgo Hamada and Carlos Ruiz Zafón
A group of speakers sit at a table with microphones, discussing music and literature at DefCon 2011. The crowd watches eagerly from the stage behind them.
BLIP-2 Description:
a group of people sitting at a table with a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
speech group carlos necklace ruiz defcon music footwear stage second microphone jeff musician furniture text performance shoe shōgo hamada desk camera glasses indoors audience pc banner sign electronics performer jewelry table accessories musical instrument band speakers laptop device second_camera concert computer de leisure activities zafón crowd electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-1
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-08-07T19:30:32.850000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.06%)
curation
(65.35%)
highlight visibility
(5.53%)
behavioral
(70.46%)
failure
(-0.66%)
harmonious color
(0.09%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-14.71%)
intrusive object presence
(-15.01%)
lively color
(-19.60%)
low light
(88.13%)
noise
(-5.71%)
pleasant camera tilt
(-2.21%)
pleasant composition
(-55.22%)
pleasant lighting
(-41.77%)
pleasant pattern
(4.17%)
pleasant perspective
(2.85%)
pleasant post processing
(-4.12%)
pleasant reflection
(-1.47%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.54%)
tastefully blurred
(-18.20%)
well chosen subject
(-6.17%)
well framed subject
(0.19%)
well timed shot
(6.61%)
all
(-5.35%)
* 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.