Photos | Jenny's Birthday Dinner
A man and woman sit at a table, enjoying their drinks and the company. The room is filled with furniture, tableware, and utensils, set up for a delightful meal. Five cups and a drinking glass are visible on the Dining Table, indicating a lively celebration. The duo seems lost in each other's company, cherishing every moment in this restaurant.
BLIP-2 Description:
a man and woman sitting at a table with drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
cocktail spoon room drinking furniture smoothie desk container dining tabletop drink part t-shirt juice teen glass bday girl old indoors beverage photography don't dish pub building cafeteria jenny architecture beer food utensil portrait table dining table dinner sts junglescene cup alcohol restaurant cutlery lager meal photos/jenny_bday_dinner skate tableware
Detected Text
date
2002-09-15T14:47:55-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.57%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.49%)
harmonious color
(-3.50%)
immersiveness
(0.15%)
interaction
(4.00%)
interesting subject
(2.67%)
intrusive object presence
(-8.42%)
lively color
(15.43%)
low light
(37.08%)
noise
(-11.16%)
pleasant camera tilt
(-3.39%)
pleasant composition
(-24.41%)
pleasant lighting
(-27.27%)
pleasant pattern
(3.61%)
pleasant perspective
(-9.39%)
pleasant post processing
(2.31%)
pleasant reflection
(2.43%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.90%)
tastefully blurred
(-7.84%)
well chosen subject
(-24.24%)
well framed subject
(29.10%)
well timed shot
(-2.18%)
all
(-1.88%)
* 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.