Photos | Dinner With Friends
Camille Hurel enjoying a night out with two friends at a restaurant in Tbilisi, Georgia. The table is adorned with beautiful tableware and glasses, and the women are surrounded by cozy furniture and warm light.
BLIP-2 Description:
two women sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
architecture table lamp bracelet glass beer cafeteria wine necklace tableware pub building meal food mobile child bar ring beverage lamp girl restaurant furniture counter utensil court camille hurel drinking glass hardware machine alcohol indoors dining interior electronics jewelry screen light table accessories room monitor goblet couch home plate part decor phone consumer cup computer linen saucer
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
date
2015-05-09T00:47:41.878000+04:00
tzoffset
14400
tzname
Asia/Tbilisi
overall
(25.59%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.46%)
harmonious color
(1.16%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-56.10%)
intrusive object presence
(-5.79%)
lively color
(-25.42%)
low light
(47.34%)
noise
(-2.32%)
pleasant camera tilt
(-3.42%)
pleasant composition
(-79.10%)
pleasant lighting
(-53.81%)
pleasant pattern
(0.95%)
pleasant perspective
(4.26%)
pleasant post processing
(0.79%)
pleasant reflection
(-2.84%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.27%)
tastefully blurred
(-19.87%)
well chosen subject
(-40.01%)
well framed subject
(-9.63%)
well timed shot
(3.33%)
all
(-10.18%)
* 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 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.