Photos | A Bonding Moment Over Coffee
Caught in a quiet corner of the bustling city, Michaela adores Wesley as he curiously explores her cell phone. This snapshot, taken in an intimate Chinatown cafeteria on a sunny afternoon, holds a sweet tableau: a woman, a child, caring shares, and cups of warm coffee. It's a perfect blend of urban life, sophisticated technology, and priceless family moments. Captured on November 26th, 2023.
BLIP-2 Description:
a woman and a child sitting at a table with a cell phoneMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban street phone coffee ring plate restaurant baby transportation glasses cutlery outdoor portrait mobile court path sky eyeglasses food cafeteria container equipment optical housing chair city fork automobile car jewelry table building sidewalk lunch tableware electronics neighborhood stroller michaela plant cafe wristwatch cup road vehicle beverage architecture machine baseball hat sunglasses utensil meal lugo wesley furniture accessories photography dining indoors cap chinatown part land
Detected Text
iso
100
metering mode
5
aperture
f/4.5
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(33.54%)
curation
(68.61%)
highlight visibility
(5.93%)
behavioral
(90.91%)
failure
(-0.27%)
harmonious color
(3.87%)
immersiveness
(0.10%)
interaction
(2.00%)
interesting subject
(-54.30%)
intrusive object presence
(-69.43%)
lively color
(-16.82%)
low light
(1.46%)
noise
(-1.34%)
pleasant camera tilt
(-7.78%)
pleasant composition
(-95.41%)
pleasant lighting
(-30.03%)
pleasant pattern
(0.83%)
pleasant perspective
(-4.68%)
pleasant post processing
(-0.73%)
pleasant reflection
(-1.68%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.98%)
tastefully blurred
(13.02%)
well chosen subject
(-19.02%)
well framed subject
(-28.78%)
well timed shot
(6.08%)
all
(-7.57%)
* 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.