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 tableMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
urban street phone bracelet plate restaurant glasses portrait shirt ice athletics cream mobile dinner court food necklace cafeteria tuesday city counter hot jewelry table pub lunch sign cruz electronics dessert neighborhood bar roots fico dish grace undershirt wristwatch cup cafe road beverage eri yamaguchi dylan alcott álex hat meal furniture alcohol accessories photography dining indoors crowd dog
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 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.