Photos | Working Lunch at Coachella Food Court
Kim Sung-hee and a group of 16 others work on their laptops and enjoy a meal at the food court during Coachella 2014.
BLIP-2 Description:
people are standing around a table with laptopsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
lighting kim sung-hee couch urban furniture dress chandelier container floor laptop hardwood dining hardware travel saturday screen lamp plant shoe cafe coachella court wristwatch pc indoors bag accessories jewelry pub arrangement iii glasses footwear cafeteria crowd foliage food backpack monitor mark april trip interior table light canon mobile phone eos restaurant computer flooring handbag bracelet design hat flower headphones spring electronics plywood wood
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2014-04-12T17:08:02.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.91%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.68%)
harmonious color
(0.75%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-44.56%)
intrusive object presence
(-10.64%)
lively color
(-9.30%)
low light
(58.06%)
noise
(-2.20%)
pleasant camera tilt
(-8.55%)
pleasant composition
(-81.05%)
pleasant lighting
(-40.84%)
pleasant pattern
(6.86%)
pleasant perspective
(-2.22%)
pleasant post processing
(-0.93%)
pleasant reflection
(0.49%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.66%)
tastefully blurred
(-7.96%)
well chosen subject
(-18.92%)
well framed subject
(-43.16%)
well timed shot
(2.57%)
all
(-7.01%)
* 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.