Photos | Portrait of a Happy Couple at Dinner
A man and woman sit at a table covered in papers, smiling and laughing while wearing casual clothing and headgear. The man dons a beanie and glasses, while the woman wears a baseball cap and necklace. The scene is set with furniture including a table, chairs, and a couch in the background, indicating they might be in a dining room or library.
BLIP-2 Description:
a man and woman sitting at a table with papersChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
dining table bracelet headgear jeans pants necklace baseball fall portrait chair publication cap ring hat library dinner jennyjenn furniture jacket text reading jenny old desk shirt coat junglescene glasses indoors teeth mouth book jewelry table accessories earring couch photos/jenny_bday_dinner part laughing photography smile happy bday september beanie
Detected Text
date
2002-09-15T14:47:52-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.12%)
harmonious color
(-3.14%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(11.02%)
intrusive object presence
(-27.88%)
lively color
(12.89%)
low light
(2.59%)
noise
(-3.32%)
pleasant camera tilt
(-4.47%)
pleasant composition
(-23.57%)
pleasant lighting
(-4.21%)
pleasant pattern
(1.12%)
pleasant perspective
(-9.19%)
pleasant post processing
(-5.10%)
pleasant reflection
(0.92%)
pleasant symmetry
(0.07%)
sharply focused subject
(1.59%)
tastefully blurred
(-6.00%)
well chosen subject
(0.57%)
well framed subject
(54.79%)
well timed shot
(3.77%)
all
(0.64%)
* 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.