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:
architecture cutlery beer dining table glass cafeteria spoon tableware building meal pub portrait food lager beverage dish girl restaurant furniture dinner utensil container jenny drinking old alcohol desk junglescene indoors dining teen tabletop table room don't smoothie juice drink t-shirt skate photos/jenny_bday_dinner part cocktail photography cup bday sts
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.