Photos | Neon Nights and Comfy Canines
Wesley with a friend and Hi-Li, our five-year-old hound, adds a vibrant pop to this casual living room snap. Check out our fusion of natural elements with modern flair with the neon sign, a luscious arrangement of flowers and shrubs, and San Francisco architecture subtly reflecting in the background. Taken on Hi-Li's 5th birthday at our home in San Francisco, California. Every moment with him lights up our world, so we had to embody that literally! Timestamp: Sept 16, 2023. Enjoy the journey with us as we add a splash of color to life through love for pets and people. Remember - always accessorize, even if you're a dog!
BLIP-2 Description:
a dog sitting on a couch next to a neon signMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
Location:
arrangement purple couch canine portrait child baby animal cow costume hound footwear birthday cushion shorts potted chair hollow mammal flower building lighting shoe ornament living decor pet room plant hi-li architecture light paw sphere wesley furniture shrub accessories photography indoors su home mish dog
iso
320
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(49.22%)
curation
(66.16%)
highlight visibility
(5.59%)
behavioral
(70.64%)
failure
(-0.07%)
harmonious color
(6.34%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(13.88%)
intrusive object presence
(-14.16%)
lively color
(3.19%)
low light
(0.95%)
noise
(-1.32%)
pleasant camera tilt
(-3.66%)
pleasant composition
(-34.81%)
pleasant lighting
(19.24%)
pleasant pattern
(3.05%)
pleasant perspective
(15.44%)
pleasant post processing
(3.81%)
pleasant reflection
(0.96%)
pleasant symmetry
(0.98%)
sharply focused subject
(3.71%)
tastefully blurred
(-12.24%)
well chosen subject
(-17.25%)
well framed subject
(38.96%)
well timed shot
(15.97%)
all
(6.81%)
* 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.