Photos | Lunch Meetup at Urban Restaurant
Eri Yamaguchi, Álex Cruz, Dylan Alcott, and Grace C join a group of 21 people for lunch at a bustling food court in the city. The table is filled with accessories, including 2 cups, 9 glasses, 2 necklaces, and a wristwatch. The diverse group of 8 adults and 4 females enjoy chatting and dining on various dishes from the restaurant.
BLIP-2 Description:
a group of people sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
restaurant accessories city urban food table ice cafe road hot sign wristwatch tuesday electronics eri yamaguchi cafeteria shirt grace fico alcohol phone necklace crowd furniture indoors hat dining athletics court bar photography undershirt cup portrait cream plate cruz street meal dog mobile roots dessert dinner dylan alcott pub dish neighborhood jewelry bracelet beverage counter álex glasses lunch
iso
160
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/120s
camera make
Apple
camera model
lens model
overall
(47.36%)
curation
(94.60%)
highlight visibility
(2.45%)
behavioral
(70.64%)
failure
(-0.10%)
harmonious color
(1.25%)
immersiveness
(0.07%)
interaction
(4.00%)
interesting subject
(39.92%)
intrusive object presence
(-22.71%)
lively color
(-1.96%)
low light
(8.06%)
noise
(-0.76%)
pleasant camera tilt
(-3.59%)
pleasant composition
(-70.31%)
pleasant lighting
(-10.36%)
pleasant pattern
(2.66%)
pleasant perspective
(5.38%)
pleasant post processing
(3.38%)
pleasant reflection
(2.43%)
pleasant symmetry
(0.42%)
sharply focused subject
(1.20%)
tastefully blurred
(-6.99%)
well chosen subject
(-32.89%)
well framed subject
(7.24%)
well timed shot
(18.99%)
all
(-0.25%)
* 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 with AI (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.