Photos | Delicious and Nutritious Meal
A plate filled with a mouthwatering mix of meats and vegetables, perfect for a hearty lunch or dinner.
BLIP-2 Description:
a plate with meat and vegetables on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3072w x 2304h - (download 4k)
Usage
Dominant Color:
crunchy page boda gobo crab load bowl krab beet meal food top thal shrimp tea spider dish inside meat loaf yogurt lemon dinner toa utensil seasoning sheil 辛口 black spre coffes avocado street document japan vege dragon bo curry cream lunch eel vermicelli red noodle sauce vegetable snapple tempura pasta soft drink iced cucumber plate printed cho caterpillar noney 麻 bean produce singer marble platter
Detected Text
0100 3 37.25 57.15 58.29 7.25 8.75 and avocado bean beet black bo boda caterpillar cho coffes crab cream crunchy cucumber dragon drink eel gobo iced inside is japan krab lemon load marble noney on or red roll sauce sheil shrimp singer snapple soft spider spre street tea tempura thal toa top vege w with yogurt 辛口 麻
iso
59
metering mode
5
aperture
f/2.8
focal length
8mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2006-01-24T22:19:55-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(19.24%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.11%)
failure
(-0.22%)
harmonious color
(1.74%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-31.71%)
intrusive object presence
(-3.49%)
lively color
(-12.77%)
low light
(1.88%)
noise
(-1.95%)
pleasant camera tilt
(-7.62%)
pleasant composition
(-28.61%)
pleasant lighting
(-3.10%)
pleasant pattern
(5.54%)
pleasant perspective
(15.42%)
pleasant post processing
(-20.67%)
pleasant reflection
(-0.06%)
pleasant symmetry
(0.54%)
sharply focused subject
(3.56%)
tastefully blurred
(0.62%)
well chosen subject
(-8.86%)
well framed subject
(52.15%)
well timed shot
(3.35%)
all
(-1.11%)
* 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,
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