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:
boilid cream beef luncheon mode sitak koclate stealed rice hidurger cut onions wi bread vicetables soup sandwich beans dsuerkraut jour de pudding aid penelope_photos invoice ala penelope cutie corn fresh garnish gravy grolled roast rye grey salad yankhe tinto hot cob dressing pork vanilla receipt lettuce butlered text dinner green liver corned order potatoes tea beets coffee shoulder chicket bia scup botied document beal onion
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.