Photos | Cherished Moments: Flame-lit Family Meal
Captured on January 14, 2024, at the Walt Disney Family Museum, this poignant snapshot offers a tender glance into the casual beauty of family dining. A woman and child, absorbed in conversation across a table adorned with a flickering candle, are drenched in the hominess of a well-loved dining room. A heart-warming display of shared pasta lunch, ensconced in the ambience of soft wooden details and decorative flora, the image is a testament to intimate, everyday occurrences shared between generations that bind families together.
BLIP-2 Description:
a woman and a child sitting at a table with a candleMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
arrangement flooring wood plate portrait child museum cutlery restaurant noodle cream eek pasta dinner tablecloth walt dogs baked interior food spoon floor icing disney candle chair fork plywood goods flower cats table cake building lunch tableware lori spaghetti dining table dessert boy glass room family dish plant tabletop architecture light utensil meal design wesley furniture photography dining indoors
iso
20000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(40.77%)
curation
(68.42%)
highlight visibility
(5.76%)
behavioral
(70.66%)
failure
(-0.15%)
harmonious color
(5.28%)
immersiveness
(0.05%)
interaction
(2.00%)
interesting subject
(13.27%)
intrusive object presence
(-3.61%)
lively color
(-5.63%)
low light
(9.25%)
noise
(-1.95%)
pleasant camera tilt
(-4.92%)
pleasant composition
(-24.02%)
pleasant lighting
(-29.91%)
pleasant pattern
(3.54%)
pleasant perspective
(17.38%)
pleasant post processing
(0.60%)
pleasant reflection
(0.67%)
pleasant symmetry
(0.44%)
sharply focused subject
(2.10%)
tastefully blurred
(-17.26%)
well chosen subject
(-30.64%)
well framed subject
(53.13%)
well timed shot
(3.04%)
all
(0.22%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.