Photos | Dining with Friends
Manami Hino and a group of 21 other people are seen enjoying a meal together at a restaurant, surrounded by decorative plants and stylish furniture.
BLIP-2 Description:
a group of people sitting around a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
architecture tie glass dining room cafeteria bracelet formal necklace urban plant building meal pub food chair bar footwear mobile brunch beverage buffet decorative dinner restaurant furniture counter court shoe bag party foliage art fun justin alcohol glasses indoors lunch candle tabletop dining wear electronics bread jewelry kevin h table room accessories manami hino couch cafe home plate decor phone cup handbag linen
iso
500
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2017-12-15T20:09:33.975000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.88%)
curation
(92.38%)
highlight visibility
(83.93%)
behavioral
(70.66%)
failure
(-0.42%)
harmonious color
(-2.44%)
immersiveness
(0.22%)
interaction
(4.00%)
interesting subject
(-0.41%)
intrusive object presence
(-9.72%)
lively color
(-15.15%)
low light
(62.21%)
noise
(-6.20%)
pleasant camera tilt
(-7.26%)
pleasant composition
(-64.21%)
pleasant lighting
(-51.46%)
pleasant pattern
(6.62%)
pleasant perspective
(-3.93%)
pleasant post processing
(-1.48%)
pleasant reflection
(-4.43%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.27%)
tastefully blurred
(-25.02%)
well chosen subject
(-20.95%)
well framed subject
(-28.44%)
well timed shot
(-3.53%)
all
(-8.64%)
* 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.