Photos | Fatherhood on the Road
Captured on a brisk November day at the SF Zoo, a reassuring moment between two generations. The photo depicts Wesley, holding a young hand while they navigate a busy street. Enveloped in a world of nearby cars and lush urban vegetation, a simple act of guidance resonates amid the city's hustle and bustle. Clothing and personal details speak volumes about their journey - 100% tuned into each other amidst the urban jungle. The perfect display of urban fatherhood, caught real-time on 2023-11-12.
BLIP-2 Description:
a man holding a child's hand while walking on a roadMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban wheel street november slate canine jeans ring portrait child animal vegetation transportation outdoor dave footwear grass path jacket foliage park dog tree city soil mammal flagstone automobile car jewelry blazer sidewalk shoe outdoors tarmac nature coat pet neighborhood boy knitwear stroller pants plant rock wristwatch road vehicle sf machine hat part sweater wesley accessories photography walking walkway gravel zoo land
iso
160
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(58.11%)
curation
(71.02%)
highlight visibility
(6.11%)
behavioral
(90.76%)
failure
(-0.20%)
harmonious color
(4.69%)
immersiveness
(1.49%)
interaction
(2.00%)
interesting subject
(26.29%)
intrusive object presence
(-4.49%)
lively color
(-1.96%)
low light
(4.15%)
noise
(-0.98%)
pleasant camera tilt
(0.63%)
pleasant composition
(0.84%)
pleasant lighting
(17.83%)
pleasant pattern
(2.05%)
pleasant perspective
(22.42%)
pleasant post processing
(1.43%)
pleasant reflection
(0.16%)
pleasant symmetry
(1.27%)
sharply focused subject
(13.94%)
tastefully blurred
(29.79%)
well chosen subject
(-6.18%)
well framed subject
(52.69%)
well timed shot
(29.88%)
all
(12.31%)
* 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.