Photos | Group of People Enjoying a Delicious Meal Together
Phillip Glasser and 16 other individuals gather around the table, enjoying a meal at a restaurant's indoor cafeteria. The large variety of food in bowls and on plates is accompanied by utensils and glasses resting on a wooden dining table. The group seems to be having a fun time, with two men sporting hats and six men in jeans and various pieces of clothing and footwear.
BLIP-2 Description:
a group of people standing around a table with bowls of foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
restaurant accessories architecture food shoe table cap tabletop desk headgear coat cafeteria jeans groupshot buffet necklace dou fore wood furniture indoors hat dining room court chef building tableware cup skin pants utensil party footwear meal jacket tattoo box dish jewelry phillip glasser plywood fun glasses
iso
640
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
overall
(37.50%)
curation
(66.03%)
highlight visibility
(5.58%)
behavioral
(70.59%)
failure
(-0.20%)
harmonious color
(1.17%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(10.44%)
intrusive object presence
(-12.62%)
lively color
(-6.14%)
low light
(4.05%)
noise
(-1.17%)
pleasant camera tilt
(-9.13%)
pleasant composition
(-60.35%)
pleasant lighting
(-33.84%)
pleasant pattern
(19.02%)
pleasant perspective
(11.93%)
pleasant post processing
(1.03%)
pleasant reflection
(-2.18%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.32%)
tastefully blurred
(-11.13%)
well chosen subject
(-21.28%)
well framed subject
(-28.25%)
well timed shot
(3.56%)
all
(-3.15%)
* 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 with AI (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.