Photos | Super Computing Conference 2007
Hellmut Hattler presents to a crowded room of 32 people, each with their own laptop and two monitors for optimal viewing. The furniture and electronics create a makeshift classroom workshop for the hardware and computer enthusiasts attending the event.
BLIP-2 Description:
a large room with many people sitting at tables with laptopsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
machine super room hellmut hattler furniture lab desk container laptop consumer hardware screen projection lecture seminar pc indoors workshop chair building footwear architecture crowd luggage computing backpack monitor classroom audience manufacturing office table mobile phone computer school factory electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2007-11-12T12:29:12-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.84%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.49%)
harmonious color
(1.03%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-36.23%)
intrusive object presence
(-28.78%)
lively color
(-2.38%)
low light
(22.90%)
noise
(-3.39%)
pleasant camera tilt
(-8.22%)
pleasant composition
(-80.86%)
pleasant lighting
(-34.50%)
pleasant pattern
(7.37%)
pleasant perspective
(-8.25%)
pleasant post processing
(-3.81%)
pleasant reflection
(-0.13%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.37%)
tastefully blurred
(-5.20%)
well chosen subject
(-11.65%)
well framed subject
(-52.78%)
well timed shot
(-0.10%)
all
(-7.64%)
* 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.