Photos | Two Men Enjoying a Meal at a Local Diner

Michael R and Dave B sit at a cozy dining room table, surrounded by furniture and optical equipment. They enjoy their lunch while chatting and wearing stylish eyeglasses and jewelry.
BLIP-2 Description:
two men sitting at a tableMetadata
Capture date:
Original Dimensions:
1280w x 960h - (download 4k)
Usage
Location:
architecture cutlery dining table glass bracelet michael r cafeteria beer spoon urban optical plant building meal pub portrait food bar chair beverage dish equipment living restaurant furniture counter ice container court coffee eyeglasses document dessert sitting diner dave alcohol glasses indoors lunch cream tabletop dining rekognition_c electronics mobile phone jewelry fork table accessories room juice couch cafe potted cocktail phone photography cup
iso
640
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
34.05
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2015-05-22T19:30:07.866000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.11%)
curation
(68.59%)
highlight visibility
(5.78%)
behavioral
(70.68%)
failure
(-0.29%)
harmonious color
(0.07%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(22.86%)
intrusive object presence
(-5.59%)
lively color
(0.54%)
low light
(39.87%)
noise
(-28.10%)
pleasant camera tilt
(-4.37%)
pleasant composition
(-26.86%)
pleasant lighting
(-32.32%)
pleasant pattern
(3.81%)
pleasant perspective
(-5.88%)
pleasant post processing
(0.45%)
pleasant reflection
(-0.30%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.20%)
tastefully blurred
(6.74%)
well chosen subject
(-28.30%)
well framed subject
(18.30%)
well timed shot
(17.31%)
all
(-0.69%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.