Photos | A Night Out at the Restaurant

Norihiro Nakamura and Zhou Lulu enjoy food and drinks at a Los Angeles restaurant in 2015. A beautiful flower bouquet sits on the table.
BLIP-2 Description:
a man is at a bar with a drink and foodMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
cutlery pen tie wine glass cafeteria saucer formal spoon tableware plant pub meal food flower footwear brunch beverage buffet hat norihiro restaurant furniture utensil coffee container shoe zhou lulu court art drinking knife jewelry district alcohol glasses indoors dining tabletop wear rekognition_c vase table flower arrangement accessories blade juice drink lulu cafe plate zhou milk cup bouquet nakamura weapon box bottle
iso
50
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-05-24T11:23:38.414000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.17%)
harmonious color
(2.32%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-40.45%)
intrusive object presence
(-24.27%)
lively color
(5.84%)
low light
(0.85%)
noise
(-2.51%)
pleasant camera tilt
(-9.08%)
pleasant composition
(-84.72%)
pleasant lighting
(-12.89%)
pleasant pattern
(4.37%)
pleasant perspective
(-6.25%)
pleasant post processing
(1.64%)
pleasant reflection
(-1.99%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.24%)
tastefully blurred
(-3.70%)
well chosen subject
(-33.23%)
well framed subject
(-48.07%)
well timed shot
(-2.40%)
all
(-5.53%)
* 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.