Photos | Cheers to the Holidays

Celebrating the season with a bottle of wine and good company. #drink #wine #holidaycheers
BLIP-2 Description:
a bottle of wineMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
machner nancy risk beverages barrel warning ky birth drink car beerages family lookolc bottled villett orne areas cause consumatin defects surgeon heath beverage distillery general bottle lake alcoholc liquor durng beer coveriment stout kentucky single alcohol red according estate operate ablty willett momen mpars wine silver skewine preg distilled bardstown
Detected Text
05169 1 1211 3.3 662 750ml 9224 a ablty according alcoholc and areas bardstown barrel because beerages beverages birth bottled by car cause com consumatin coveriment defects distilled distillery drink durng estate family general heath in kentucky ky lake lookolc machner may momen mpars nancy not of operate or orne preg risk should silver single skewine surgeon the to villett warning willett wine your
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
16mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
date
2011-12-25T12:38:44.840000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(54.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.28%)
failure
(-0.54%)
harmonious color
(7.04%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-43.55%)
intrusive object presence
(-2.59%)
lively color
(17.21%)
low light
(96.97%)
noise
(-1.25%)
pleasant camera tilt
(1.43%)
pleasant composition
(18.03%)
pleasant lighting
(4.42%)
pleasant pattern
(2.34%)
pleasant perspective
(26.00%)
pleasant post processing
(14.00%)
pleasant reflection
(0.44%)
pleasant symmetry
(0.51%)
sharply focused subject
(47.09%)
tastefully blurred
(80.52%)
well chosen subject
(27.32%)
well framed subject
(78.96%)
well timed shot
(-4.65%)
all
(14.94%)
* 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.