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:
invoice fresh coffee cut dsuerkraut salad pork liver roast cream de dressing dinner bread receipt beef wi hidurger jour green beets onions beal boilid butlered sandwich potatoes lettuce hot soup tinto yankhe onion document rye cob grey sitak shoulder garnish vanilla cutie mode koclate stealed penelope_photos corn order botied grolled scup beans gravy penelope vicetables text chicket luncheon corned ala pudding aid tea rice bia
Detected Text
aid ala beal beef beets boilid botied bread butlered bia chicket corn corned cut cutie cob cream dinner dsuerkraut fresh garnish grey grolled green hidurger koclate luncheon liver order pork pudding rice roast sandwich scup sitak stealed shoulder soup t tinto vicetables vanilla w wi yankhe beans coffee de dressing gravy hot jour lettuce mode on onion onions potatoes rye salad tea the to
iso
1600
metering mode
5
aperture
f/2.8
focal length
45mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
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.