Photos | Wesley's Foliage Frolic: A Frisbee Afternoon
Witness our little Wesley engrossed in the simple joy of playing with a frisbee in a picturesque downtown Sonoma park. Immersed in nature under the canopy of sycamore and oak, the landscape boasts the beauty of fall portrayed by a background of colorful foliage, lush grassland, and unique woodland. This candid image captured on November 25, 2023, highlights the vital role of outdoor activities in a child’s development. Here's to many more afternoons of carefree joy!
BLIP-2 Description:
a baby is playing with a frisbee in a parkChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture costume jeans boy pants neighborhood trunk rock plant sonoma building soil portrait baseball child yard outdoors sycamore hat tent area tree leaf field outdoor jacket sky shelter city foliage land grassland glove grove coat path nature oak rekognition_c grass sport backyard woodland downtown play walking photography dress wesley lawn park vegetation
iso
250
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-25T16:26:56.210000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(64.75%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.64%)
failure
(-0.10%)
harmonious color
(14.16%)
immersiveness
(2.29%)
interaction
(1.00%)
interesting subject
(25.54%)
intrusive object presence
(-3.22%)
lively color
(16.97%)
low light
(1.98%)
noise
(-1.68%)
pleasant camera tilt
(1.24%)
pleasant composition
(3.63%)
pleasant lighting
(28.47%)
pleasant pattern
(5.98%)
pleasant perspective
(24.71%)
pleasant post processing
(0.62%)
pleasant reflection
(1.08%)
pleasant symmetry
(1.32%)
sharply focused subject
(8.18%)
tastefully blurred
(32.89%)
well chosen subject
(-0.90%)
well framed subject
(46.39%)
well timed shot
(24.48%)
all
(15.37%)
* 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.