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:
cutlery architecture bracelet cafeteria necklace spoon leah building meal food tablet footwear artisntal buffet plywood restaurant furniture la design court wood bag shoe icing manufacturing dessert neal glasses indoors cream factory dining sweets interior electronics jewelry cupcake table accessories cake home part decor leah_artisntal_la cup computer shop handbag linen
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.