Photos | A Work-Life Balance Portrait
In a tranquil mix of work and leisure, this snapshot shows a man absorbed in his on-screen task, his faithful canine companion by his side. Set against a backdrop of a serene waterfront landscape and cozy home architecture, this image, taken on October 31st, 2022, encapsulates what a work-life balance can look like. Accompanied by timely coffee breaks and the inviting outdoors, this photograph reminds us that working from home can be a balanced, harmonious affair.
BLIP-2 Description:
a man sitting at a tableMetadata
Capture date:
Original Dimensions:
3648w x 5472h - (download 4k)
Usage
Dominant Color:
pc couch wood canine scenery coffee portrait animal glasses outdoor water house hound bag porch balcony sky tree fence waterfront sitting housing chair bridge potted mammal puppy drinking li table building railing shoreline tableware electronics outdoors desk lori nature handbag cloudy sony pet glass room deck dave b plant indoors hi wristwatch beach cup beverage architecture blue utensil coast furniture shelter patio accessories photography ocean laptop computer alcohol sea dining boardwalk dog land
iso
100
metering mode
5
aperture
f/4.5
focal length
9mm
shutter speed
1/1000s
camera make
SONY
camera model
lens model
overall
(45.56%)
curation
(65.62%)
highlight visibility
(5.70%)
behavioral
(90.81%)
failure
(-0.61%)
harmonious color
(0.07%)
immersiveness
(1.34%)
interaction
(1.00%)
interesting subject
(1.28%)
intrusive object presence
(-5.96%)
lively color
(-0.60%)
low light
(1.64%)
noise
(-0.73%)
pleasant camera tilt
(-6.37%)
pleasant composition
(-3.18%)
pleasant lighting
(-21.07%)
pleasant pattern
(7.50%)
pleasant perspective
(10.56%)
pleasant post processing
(-0.05%)
pleasant reflection
(-0.64%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.71%)
tastefully blurred
(-1.25%)
well chosen subject
(5.99%)
well framed subject
(23.72%)
well timed shot
(12.40%)
all
(4.43%)
* 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.