Photos | A Box of White Rice with Label

This box of white rice from Los Angeles is perfect for a variety of dishes. With its clear label, it's easy to identify and use in any recipe.
BLIP-2 Description:
a box of white rice with a label on itMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
batch la drive rice kitchen wheat wued poster home 山 leah organic smale minutes leah_artisntal_la los artisntal mavis semolina minetes ibs business county salted semolin perma produce made baiting artisanal food card artisan issued water boiling jo pasta text permit angeles small book cook sater advertisement paper publication grain angefes ca в menu seanin brive
Detected Text
1 10 1002 10045 10065 19 195178 195f7e 199178 3115 411 415 433 435 455 55 8 90065 a angefes angeles artisan artisanal baiting batch boiling brive ca cook county drive home ibs in issued jo kitchen la los made mavis minetes minutes organic pasta perma permit salted sater seanin semolin semolina smale small water wheat wued в 山
iso
3200
metering mode
5
aperture
f/2.8
focal length
32mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2014-10-11T15:26:35.440000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.87%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.09%)
failure
(-0.56%)
harmonious color
(-5.91%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-80.96%)
intrusive object presence
(-3.91%)
lively color
(-40.19%)
low light
(26.95%)
noise
(-2.10%)
pleasant camera tilt
(-11.54%)
pleasant composition
(-38.77%)
pleasant lighting
(-25.39%)
pleasant pattern
(15.14%)
pleasant perspective
(8.50%)
pleasant post processing
(-4.64%)
pleasant reflection
(-6.78%)
pleasant symmetry
(2.03%)
sharply focused subject
(0.90%)
tastefully blurred
(-10.35%)
well chosen subject
(-1.16%)
well framed subject
(-12.37%)
well timed shot
(-3.86%)
all
(-5.77%)
* 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.