Photos | Group Dinner at Tbilisi Restaurant
Dave B and Mancho G join four women and one other man for a fun night out at a Tbilisi dining spot, complete with glasses, cutlery, and delicious food.
BLIP-2 Description:
a group of people posing for a photo at a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
1280w x 960h - (download 4k)
Usage
Dominant Color:
Location:
building beverage optical photography glass restaurant linen furniture cutlery dining dave meal diner blouse beer phone mobile decor dining table liquor equipment table wristwatch architecture indoors consumer urban glasses spoon selfie interior food court accessories portrait dinner computer tableware room alcohol eyeglasses dish pub mancho g fork home bar part drinking glass food counter electronics utensil machine
iso
1000
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
41.69
longitude
44.81
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(31.05%)
curation
(68.38%)
highlight visibility
(5.91%)
behavioral
(90.71%)
failure
(-2.44%)
harmonious color
(-5.83%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(23.62%)
intrusive object presence
(-3.25%)
lively color
(-2.08%)
low light
(24.83%)
noise
(-28.47%)
pleasant camera tilt
(-4.75%)
pleasant composition
(-25.24%)
pleasant lighting
(-33.91%)
pleasant pattern
(7.37%)
pleasant perspective
(-16.25%)
pleasant post processing
(-1.48%)
pleasant reflection
(2.10%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.81%)
tastefully blurred
(-23.99%)
well chosen subject
(-41.85%)
well framed subject
(-6.62%)
well timed shot
(-15.63%)
all
(-6.13%)
* 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 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.