Photos | Defcon 24: Day 1 Crowd on Stage
Christoph Hein and Jeff M joined by a packed stage of attendees at Defcon 24, as seen through the lens of photographer Jason Klein.
BLIP-2 Description:
defcon 24 - day 1 - photo by jason kleinChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
speech bracelet activities necklace leisure defcon music speaker footwear stage second hein microphone wristwatch hat jeff musician furniture christoph shoe bag desk camera glasses audience pc rekognition_c banner sign defc electronics jewelry performer table accessories musical instrument handbag speakers laptop device second_camera concert computer crowd electrical
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-08-07T19:38:23.570000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.54%)
curation
(65.21%)
highlight visibility
(5.52%)
behavioral
(70.48%)
failure
(-0.61%)
harmonious color
(-0.61%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-4.16%)
intrusive object presence
(-10.28%)
lively color
(-24.98%)
low light
(92.53%)
noise
(-7.08%)
pleasant camera tilt
(-3.86%)
pleasant composition
(-58.54%)
pleasant lighting
(-53.03%)
pleasant pattern
(2.88%)
pleasant perspective
(7.35%)
pleasant post processing
(-1.29%)
pleasant reflection
(0.05%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.20%)
tastefully blurred
(-25.98%)
well chosen subject
(-16.81%)
well framed subject
(-3.34%)
well timed shot
(1.80%)
all
(-7.18%)
* 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.