Photos | Unforgettable Moments: A Day at the Zoo
Pictured here on November 12, 2023, are Dave B. and his son Wesley enjoying a day out at the SF Zoo. With Wesley casually perched on his dad's shoulders they create a heartwarming scene, perfectly capturing the essence of father-son bonding. Both clad in jackets and jeans, their matching outfits reflect their special bond. Amidst the natural settings of the zoo with trees, grass, and rocks in the backdrop, this picture is a perfect illustration of joy, love, and togetherness.
BLIP-2 Description:
a man holding a child on his shouldersMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
wheel urban street november vegetation jeans bracelet portrait baby glasses transportation fir outdoor dave hoodie footwear grass bag motorcycle path jacket sky park tree conifer potted woodland soil city sweatshirt jewelry blazer glove outdoors shoe rocks handbag nature coat strap neighborhood knitwear stroller pants plant grove road vehicle sf machine part sweater wesley hood accessories photography walking walkway zoo land
iso
160
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(60.99%)
curation
(68.97%)
highlight visibility
(5.96%)
behavioral
(90.85%)
failure
(-0.22%)
harmonious color
(2.80%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(58.94%)
intrusive object presence
(-4.47%)
lively color
(4.03%)
low light
(1.90%)
noise
(-1.32%)
pleasant camera tilt
(-2.69%)
pleasant composition
(-4.50%)
pleasant lighting
(-0.99%)
pleasant pattern
(2.20%)
pleasant perspective
(13.53%)
pleasant post processing
(4.74%)
pleasant reflection
(0.20%)
pleasant symmetry
(0.68%)
sharply focused subject
(9.62%)
tastefully blurred
(23.61%)
well chosen subject
(1.81%)
well framed subject
(61.47%)
well timed shot
(18.93%)
all
(9.33%)
* 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.