Photos | Dining at the Samurai Cafe
Skibadee and DJ S enjoy a meal with friends at the bustling food court in the Samurai Cafe on March 20th, 2006.
BLIP-2 Description:
a group of people sitting at a table eating foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
cap fate couch furniture dining bread march hardware screen semanas tableware interior room dj de cafe accidente court indoors beverage anyone sign fast baseball diner reserve chair pub dish plate samurai stakes z skibadee beware cafeteria subflo card fatburger food gift monitor utensil bar table sin fat canon bar counter cup alcohol esté restaurant meal tene eos computer right headgear saucer réserve hat refuse big restaurante spring electronics service
Detected Text
iso
100
metering mode
5
aperture
f/4.5
focal length
33mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2006-03-20T03:06:58-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(33.76%)
curation
(66.38%)
highlight visibility
(5.76%)
behavioral
(90.73%)
failure
(-0.24%)
harmonious color
(-0.52%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-24.38%)
intrusive object presence
(-11.60%)
lively color
(-22.50%)
low light
(88.53%)
noise
(-1.20%)
pleasant camera tilt
(-8.45%)
pleasant composition
(-85.25%)
pleasant lighting
(-65.28%)
pleasant pattern
(1.83%)
pleasant perspective
(-2.71%)
pleasant post processing
(-4.33%)
pleasant reflection
(-2.28%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.15%)
tastefully blurred
(-12.18%)
well chosen subject
(-21.74%)
well framed subject
(-13.84%)
well timed shot
(12.36%)
all
(-10.21%)
* 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.