Photos | Receipt for a Delicious Meal

A satisfied customer holds onto their receipt from a dining experience at a restaurant.
BLIP-2 Description:
a person holding a paper with a restaurant receiptMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
luncheon stealed wi corn order ala fresh pork gravy sandwich tea salad cob beans hot botied cut dinner penelope aid text coffee cutie shoulder chicket jour document koclate penelope_photos vicetables corned bia grey beal beef cream potatoes dsuerkraut bread receipt green rice tinto rye invoice vanilla sitak boilid garnish liver pudding lettuce beets butlered dressing grolled mode yankhe de hidurger roast scup onion onions soup
Detected Text
aid ala beal beans beef beets bia boilid botied bread butlered chicket cob coffee corn corned cream cut cutie de dinner dressing dsuerkraut fresh garnish gravy green grey grolled hidurger hot jour koclate lettuce liver luncheon mode on onion onions order pork potatoes pudding rice roast rye salad sandwich scup shoulder sitak soup stealed t tea the tinto to vanilla vicetables w wi yankhe
iso
1600
metering mode
5
aperture
f/2.8
focal length
45mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2009-02-19T15:07:21-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.03%)
curation
(25.00%)
highlight visibility
(1.98%)
behavioral
(10.02%)
failure
(-0.29%)
harmonious color
(2.06%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-50.39%)
intrusive object presence
(-8.25%)
lively color
(17.26%)
low light
(1.39%)
noise
(-4.57%)
pleasant camera tilt
(-4.88%)
pleasant composition
(-22.64%)
pleasant lighting
(-3.79%)
pleasant pattern
(1.59%)
pleasant perspective
(15.17%)
pleasant post processing
(5.53%)
pleasant reflection
(-0.17%)
pleasant symmetry
(0.37%)
sharply focused subject
(30.27%)
tastefully blurred
(62.11%)
well chosen subject
(29.32%)
well framed subject
(46.68%)
well timed shot
(-0.84%)
all
(6.41%)
* 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.