Photos | Working on the Go
Arden Rose uses her laptop to get some work done while grabbing a bite to eat at a restaurant during Coachella 2014.
BLIP-2 Description:
a woman is sitting at a table with a laptopChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
taylor bracelet cafeteria necklace urban evening plant food chair flower footwear eos iii arrangement travel plywood lamp hat wristwatch restaurant furniture saturday flooring design court wood bag shoe foliage arden rose glasses indoors coachella pc rosie beauty interior mark electronics backpack mobile phone jewelry hardwood salon table accessories room trip headphones april spring cafe formal wear canon lighting laptop chandelier phone dress floor computer handbag ritson
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2014-04-12T17:08:03.290000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.84%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.59%)
harmonious color
(2.57%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-39.14%)
intrusive object presence
(-9.55%)
lively color
(-3.13%)
low light
(49.02%)
noise
(-1.44%)
pleasant camera tilt
(-9.01%)
pleasant composition
(-77.00%)
pleasant lighting
(-34.55%)
pleasant pattern
(9.20%)
pleasant perspective
(1.85%)
pleasant post processing
(1.32%)
pleasant reflection
(0.31%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.68%)
tastefully blurred
(0.33%)
well chosen subject
(-15.97%)
well framed subject
(-44.87%)
well timed shot
(5.91%)
all
(-4.44%)
* 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.