Photos | Grocery List

A person holds a paper with a grocery list, while their wristwatch shows the time. In the background, a table is set with two cups and tableware.
BLIP-2 Description:
a person holding a paper with a list of items on itMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
page dice threes count sequence 因 furniture hasbro denote fours ri lower play baby sixes recreation jeans sm tableware twos part add shoe total wristwatch trademars straight beverage section wood indoors printed business kind al chance score grand full footwear card fives x utensil receipt interior text table tm fights cup coffee cup sneaker © bonus house pawtucket coffee dxc upper design aces lg paper reserved usa document sony
Detected Text
02861 1 100 1059 1982 2 2014 25 3 30 35 4 40 5 50 6 63 a aces add al all and bonus chance count denote dice each fights fives for fours full grand hasbro house how is kind lg lower of only or over pawtucket reserved ri s score section sequence sixes sm straight threes tm to total trademars twos u upper usa x © 因
iso
100
metering mode
5
aperture
f/2.8
focal length
9mm
shutter speed
1/30s
camera make
SONY
camera model
lens model
date
2021-06-19T05:52:25-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(36.74%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.61%)
failure
(-0.42%)
harmonious color
(0.92%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-55.96%)
intrusive object presence
(-4.74%)
lively color
(7.68%)
low light
(16.89%)
noise
(-1.64%)
pleasant camera tilt
(-0.84%)
pleasant composition
(-30.86%)
pleasant lighting
(1.13%)
pleasant pattern
(6.01%)
pleasant perspective
(14.73%)
pleasant post processing
(2.98%)
pleasant reflection
(0.11%)
pleasant symmetry
(0.54%)
sharply focused subject
(10.18%)
tastefully blurred
(25.85%)
well chosen subject
(-11.73%)
well framed subject
(31.37%)
well timed shot
(-3.14%)
all
(3.20%)
* 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.