Photos | Coffee Break in a Busy Cafeteria

A woman hands a cup of coffee to a man amidst the busy atmosphere of a cafeteria in Los Angeles, California. The table is filled with six people and their accessories, including two handbags, glasses, bracelets, necklaces, and shoes. The meal seems to have just arrived, with a spoon ready to be used and a tablet computer on standby. The wooden furniture and linen create an inviting atmosphere for the sweet treats, including cupcakes and cakes with icing and cream.
BLIP-2 Description:
a woman is handing a man a cup of coffeeMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
spoon cream buffet la furniture decor dining part home leah linen leah_artisntal_la artisntal court indoors bag accessories wood jewelry glasses neal footwear cafeteria building architecture necklace cupcake food shop icing manufacturing interior table cutlery cup cake restaurant meal computer handbag bracelet factory design tablet dessert sweets electronics plywood shoe
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2014-10-11T15:22:28.160000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.57%)
curation
(65.68%)
highlight visibility
(5.55%)
behavioral
(70.60%)
failure
(-0.39%)
harmonious color
(-2.01%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-19.93%)
intrusive object presence
(-12.16%)
lively color
(-8.09%)
low light
(20.21%)
noise
(-4.64%)
pleasant camera tilt
(-9.80%)
pleasant composition
(-73.78%)
pleasant lighting
(-22.61%)
pleasant pattern
(4.83%)
pleasant perspective
(-5.14%)
pleasant post processing
(-1.46%)
pleasant reflection
(-2.62%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.76%)
tastefully blurred
(-15.76%)
well chosen subject
(-41.58%)
well framed subject
(-20.58%)
well timed shot
(-5.80%)
all
(-6.94%)
* 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.