Photos | Man Enjoying Lunch in a Cozy Restaurant
This 2002 portrait captures a man in a stylish black jacket and baseball cap enjoying a delicious meal with two other gentlemen at a dining table. The dining room is tastefully decorated with paintings and furniture, and the table is set with utensils, plates, and glasses. The man seems engrossed in his food and beverage, while his eyeglasses add a touch of sophistication to his look.
BLIP-2 Description:
a man wearing a black jacketMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
art brunch plate restaurant portrait glasses cutlery ketchup dinner bread court diner old_eecue interior eyeglasses food cafeteria container equipment optical drinking table building lunch tableware dining table glass room painting dish cafe eating cup beverage architecture pizza baseball hat knife weapon meal utensil beer bottle fast furniture alcohol blade photography headgear indoors accessories dining cap
overall
(26.34%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.90%)
harmonious color
(-2.48%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-39.72%)
intrusive object presence
(-6.47%)
lively color
(-6.42%)
low light
(6.47%)
noise
(-23.54%)
pleasant camera tilt
(-5.84%)
pleasant composition
(-58.64%)
pleasant lighting
(-45.61%)
pleasant pattern
(3.66%)
pleasant perspective
(-7.65%)
pleasant post processing
(2.20%)
pleasant reflection
(-4.21%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.83%)
tastefully blurred
(-20.40%)
well chosen subject
(-44.14%)
well framed subject
(-26.49%)
well timed shot
(-4.58%)
all
(-8.71%)
* 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.