Photos | Dining with Friends

Vanessa Fernandes, Dave B, and Mancho G enjoy a meal together at a restaurant in Tbilisi, Georgia in 2015. The group is surrounded by furniture, electronics, and accessories in the indoor dining room.
BLIP-2 Description:
a group of people sitting at a tableMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
building beverage tv design glass restaurant television shoe linen furniture screen dining speakers tablecloth dave meal jewelry couch speaker mobile phone plate decor sitting ring desk monitor hardware table wristwatch entertainment center architecture indoors blade consumer chandelier chair glasses knife interior food court accessories cafeteria footwear music computer room light alcohol home pub mancho g lamp bar vanessa fernandes food counter electronics machine weapon necklace
iso
500
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
41.69
longitude
44.81
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(41.41%)
curation
(68.38%)
highlight visibility
(5.76%)
behavioral
(70.69%)
failure
(-0.32%)
harmonious color
(1.07%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(14.67%)
intrusive object presence
(-9.01%)
lively color
(-20.68%)
low light
(66.21%)
noise
(-7.74%)
pleasant camera tilt
(-6.34%)
pleasant composition
(-62.60%)
pleasant lighting
(-43.33%)
pleasant pattern
(4.57%)
pleasant perspective
(8.73%)
pleasant post processing
(2.19%)
pleasant reflection
(-2.24%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.46%)
tastefully blurred
(-12.65%)
well chosen subject
(-26.71%)
well framed subject
(-11.87%)
well timed shot
(7.41%)
all
(-5.01%)
* 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.