Photos | Lunch at the Cafeteria
Justin M, Kevin H and Andy N join other colleagues for a delicious lunch at the cafeteria in Los Angeles, California. A spread of scrumptious food awaits them on the table, with accessories such as handbags, wristwatches and jewelry adorning their outfits, and glasses of water on the table.
BLIP-2 Description:
a group of people standing around a table with foodChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet cafeteria necklace building meal food chair window footwear buffet ring dish microphone luggage wristwatch restaurant furniture flooring court container bag shoe eating art hardware justin desk glasses indoors lunch dining nati district electronics jewelry screen kevin h table accessories room monitor cafe device plate cup floor computer handbag andy n electrical
Detected Text
iso
100
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-08-06T15:53:10.728000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.47%)
curation
(91.14%)
highlight visibility
(2.45%)
behavioral
(70.54%)
failure
(-0.20%)
harmonious color
(1.61%)
immersiveness
(0.05%)
interaction
(8.00%)
interesting subject
(-13.26%)
intrusive object presence
(-7.67%)
lively color
(-14.67%)
low light
(13.23%)
noise
(-1.76%)
pleasant camera tilt
(-13.72%)
pleasant composition
(-81.79%)
pleasant lighting
(-49.46%)
pleasant pattern
(2.76%)
pleasant perspective
(-4.24%)
pleasant post processing
(3.96%)
pleasant reflection
(-1.93%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.12%)
tastefully blurred
(-23.86%)
well chosen subject
(-24.16%)
well framed subject
(-40.92%)
well timed shot
(6.05%)
all
(-8.26%)
* 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.