Photos | Joyful Moments: Thanksgiving 2023
Cameron J brings his family, including Wesley, together for a heartwarming Thanksgiving in 2023. Amidst the cozy living room setup, the man in shorts and hoodie cradles a baby and their pet canine—personifying love and togetherness. Not to miss, a glance at their choice of fashionable footwear adds extra charm to this intimate portrait.
BLIP-2 Description:
a man holding a baby and a dog in a living roomChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
sleeve architecture costume bulldog door pants hoodie building baseball cameron j window portrait footwear sweater cap plywood wristwatch hat living furniture rug pet flooring design wood shoe sandal li dog glove hi shoes shirt coat heights indoors shorts long interior canine skirt hardwood sneaker accessories room couch puppy hound home decor photography mammal animal wesley thanksgiving floor bernal body part knitwear
iso
200
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/106s
camera make
Apple
camera model
date
2023-11-25T10:05:56.243000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(43.58%)
curation
(71.38%)
highlight visibility
(5.99%)
behavioral
(70.65%)
failure
(-0.20%)
harmonious color
(1.67%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(32.69%)
intrusive object presence
(-4.05%)
lively color
(1.55%)
low light
(5.08%)
noise
(-2.61%)
pleasant camera tilt
(-5.88%)
pleasant composition
(-5.46%)
pleasant lighting
(-30.18%)
pleasant pattern
(5.18%)
pleasant perspective
(8.44%)
pleasant post processing
(1.11%)
pleasant reflection
(-4.89%)
pleasant symmetry
(0.78%)
sharply focused subject
(1.07%)
tastefully blurred
(-12.06%)
well chosen subject
(-50.29%)
well framed subject
(46.46%)
well timed shot
(12.19%)
all
(1.00%)
* 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.