Photos | Working Hard at Barcamp 6

AA Bronson and Riley Baugus are among the 39 people at this indoor conference, calmly typing away on their laptops while seated at a cafeteria table with other attendees.
BLIP-2 Description:
a group of people sitting at tables with laptopsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
machine room speaker aa furniture lab desk laptop tabletop dining consumer hardware screen cafe lecture court pc riley baugus indoors bag accessories jewelry workshop chair conference plate glasses meeting building cafeteria barcamp crowd architecture backpack monitor food bronson classroom audience manufacturing office table interior mobile painting cup phone restaurant computer handbag school rekognition_c bracelet factory mouse hat art electronics plywood wood
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-10-26T13:53:25-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.37%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.39%)
harmonious color
(-1.96%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-63.82%)
intrusive object presence
(-7.30%)
lively color
(-5.40%)
low light
(24.46%)
noise
(-2.32%)
pleasant camera tilt
(-10.16%)
pleasant composition
(-88.33%)
pleasant lighting
(-27.51%)
pleasant pattern
(8.86%)
pleasant perspective
(-2.67%)
pleasant post processing
(1.59%)
pleasant reflection
(-4.11%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.20%)
well chosen subject
(5.74%)
well framed subject
(-75.24%)
well timed shot
(0.60%)
all
(-6.23%)
* 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.