Photos | Dining with Friends
Yulia Merkulova and two friends enjoy a delicious meal at a local restaurant in Los Angeles. The plywood table and trendy interior design make for an enjoyable dining experience.
BLIP-2 Description:
three people standing around a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
glass cratenu les beverage cafeteria linen box table artisanal bracelet cafe manufacturing alcohol restaurant food party fun mobile d'anglud semolina neal dining leah_artisntal_la chair interior design leah artisntal document building furniture architecture jewelry buffet desk phone handbag factory wood tablecloth meal la yulia merkulova home electronics decor court angeles plywood tabletop room bag indoors accessories calif
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2014-10-11T15:22:57.910000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.43%)
curation
(65.91%)
highlight visibility
(5.57%)
behavioral
(70.55%)
failure
(-0.20%)
harmonious color
(-0.88%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(15.67%)
intrusive object presence
(-18.65%)
lively color
(-12.83%)
low light
(3.86%)
noise
(-0.95%)
pleasant camera tilt
(-8.65%)
pleasant composition
(-32.30%)
pleasant lighting
(-17.04%)
pleasant pattern
(13.79%)
pleasant perspective
(11.54%)
pleasant post processing
(-1.62%)
pleasant reflection
(-3.40%)
pleasant symmetry
(2.12%)
sharply focused subject
(0.56%)
tastefully blurred
(-18.09%)
well chosen subject
(-12.16%)
well framed subject
(13.90%)
well timed shot
(15.94%)
all
(1.09%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.