Photos | Lunchtime at a Los Angeles Cafeteria
Pendleton Ward, Robin Schulz, Todd, Andy N, and Option J enjoy a buffet lunch with colleagues and friends at a local cafeteria in Los Angeles.
BLIP-2 Description:
a group of people standing around a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
bracelet cafeteria tableware bowl plant meal food chair child footwear flower buffet brunch ring dish arrangement microphone option j wristwatch girl restaurant furniture utensil flooring court wood shoe bag eating vincent desk glasses indoors lunch supper pendleton ward dining district schulz robin bread jewelry todd ate table accessories couch charles device shawn cup floor handbag andy n electrical
Detected Text
iso
80
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
2015-08-06T15:51:50.602000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.69%)
curation
(94.20%)
highlight visibility
(7.88%)
behavioral
(90.73%)
failure
(-0.24%)
harmonious color
(0.70%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-14.71%)
intrusive object presence
(-11.65%)
lively color
(0.72%)
low light
(14.16%)
noise
(-1.81%)
pleasant camera tilt
(-9.05%)
pleasant composition
(-68.85%)
pleasant lighting
(-36.23%)
pleasant pattern
(3.47%)
pleasant perspective
(1.15%)
pleasant post processing
(-0.09%)
pleasant reflection
(1.34%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.37%)
tastefully blurred
(-4.08%)
well chosen subject
(-21.48%)
well framed subject
(-29.05%)
well timed shot
(6.51%)
all
(-4.72%)
* 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.