Photos | Geek Dinner at the Restaurant

A group of 20 people enjoying a meal together in a restaurant, surrounded by art and electronics, seated at a large dining table with 4 chairs and a screen showing computer hardware. The room is decorated with 5 paintings and the furniture is made of wood and plywood. Two women and 6 men sit at the table, wearing glasses and accessories, with a boy in a hat also present. Plates and cutlery can be seen on the table, and the room features linen and flooring.
BLIP-2 Description:
a group of people sitting at a table eating foodMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
廠 architecture dining table cutlery cafeteria boy spoon building frame meal food chair 合 为 child pub geek buffet dish plywood hat dinner restaurant furniture 务 flooring design court wood art linen television srpc machine hardware 工农兵 緒 glasses indoors 同 lunch dining interior electronics screen table room accessories monitor couch cafe home plate decor tv cup floor computer painting consumer
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2008-07-15T21:05:07-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.63%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.24%)
harmonious color
(-0.61%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-19.60%)
intrusive object presence
(-3.64%)
lively color
(-37.21%)
low light
(28.64%)
noise
(-1.37%)
pleasant camera tilt
(-10.50%)
pleasant composition
(-70.26%)
pleasant lighting
(-41.97%)
pleasant pattern
(13.45%)
pleasant perspective
(-5.10%)
pleasant post processing
(2.63%)
pleasant reflection
(-2.88%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.22%)
tastefully blurred
(-8.31%)
well chosen subject
(-6.35%)
well framed subject
(-43.14%)
well timed shot
(-3.19%)
all
(-7.35%)
* 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.