Photos | Working Together in Los Angeles
Haing S. Ngor joins a diverse group of people at a table in 2015, all focusing intently on their laptops.
BLIP-2 Description:
a group of people sitting at tables with laptopsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
option machine andy n room haing s. ngor furniture desk floor laptop tabletop dining consumer hardware screen teen projection lecture seminar vincent s pc indoors accessories bag workshop chair glasses meeting building architecture crowd backpack monitor district classroom audience manufacturing office table boy mobile cup phone computer flooring handbag school factory arts supplies mouse electronics plywood wood
iso
250
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.04
longitude
-118.24
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-04-07T10:18:10.383000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(11.85%)
curation
(70.46%)
highlight visibility
(5.92%)
behavioral
(70.50%)
failure
(-2.37%)
harmonious color
(-2.40%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-60.55%)
intrusive object presence
(-13.84%)
lively color
(-16.56%)
low light
(62.01%)
noise
(-9.89%)
pleasant camera tilt
(-12.23%)
pleasant composition
(-85.79%)
pleasant lighting
(-78.03%)
pleasant pattern
(5.79%)
pleasant perspective
(-20.79%)
pleasant post processing
(-1.39%)
pleasant reflection
(-0.92%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.05%)
tastefully blurred
(-13.21%)
well chosen subject
(-5.75%)
well framed subject
(-63.13%)
well timed shot
(6.58%)
all
(-13.90%)
* 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.