Photos | Family Meal at the Dining Table
A woman, a man, and a child gather around the table for a festive meal on Christmas Day in 2002. The table is set with plates, utensils, and tableware, while a bowl of food is being passed around. The warm lighting of the dining room adds to the cozy ambiance of the gathering.
BLIP-2 Description:
a woman sitting at a table with a child and a manMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
couch brunch produce plate ring portrait child cutlery baby restaurant old dinner bread supper herbs diner moon interior food spoon bowl cafeteria necklace eecue pot chair rahnsom potted fork jewelry jame table building lunch junglescene tableware porcelain ce photos/eecue_dan_moon_rahnsom_skye dining table pottery boy dan room breakfast dish plant herbal skye eating cup beverage tabletop architecture knife weapon meal utensil furniture blade rahnsom b photography indoors accessories dining cookware art
Detected Text
overall
(25.27%)
curation
(68.40%)
highlight visibility
(5.76%)
behavioral
(70.60%)
failure
(-0.39%)
harmonious color
(-2.27%)
immersiveness
(0.12%)
interaction
(2.00%)
interesting subject
(-46.29%)
intrusive object presence
(-21.88%)
lively color
(7.01%)
low light
(50.44%)
noise
(-9.33%)
pleasant camera tilt
(-10.07%)
pleasant composition
(-78.22%)
pleasant lighting
(-40.43%)
pleasant pattern
(4.42%)
pleasant perspective
(-12.41%)
pleasant post processing
(2.81%)
pleasant reflection
(-0.13%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.34%)
tastefully blurred
(-9.30%)
well chosen subject
(-21.18%)
well framed subject
(-35.45%)
well timed shot
(-6.21%)
all
(-8.40%)
* 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.