Photos | Family Festivities at the Halfmoon Bay Pumpkin Patch
Capturing the heart of autumn- Lori S, Dave B, and their faithful canine enjoying the bounty of nature at the beloved local tradition, the Halfmoon Bay Pumpkin Patch on October 21, 2023. Embracing the spirit of the season among a riot of pumpkins, a background of bustling people, inviting food stalls, rustic wagons and an idyllic countryside atmosphere. Memories made under the vast, cloud-speckled blue sky, will forever hold warmth and joy, much like a pumpkin basking in the soft sunbeam.
BLIP-2 Description:
a man and woman with their dog and pumpkin at a pumpkin festivalMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
car wheel vehicle pet footwear ball outdoors harvest food hi-li plant market canine wagon animal farm dave mammal cloudy glasses hat carriage sky land sport building architecture squash pumpkin rural tent automobile basketball handbag countryside dog produce wristwatch lori nature shelter vegetable transportation baby bay outdoor halfmoon machine patch (ball) bag shoe accessories
iso
100
metering mode
5
aperture
f/9
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2023-10-21T15:07:35.680000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.02%)
curation
(68.07%)
highlight visibility
(5.89%)
behavioral
(90.98%)
failure
(-0.22%)
harmonious color
(3.02%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(6.80%)
intrusive object presence
(-13.40%)
lively color
(11.74%)
low light
(4.47%)
noise
(-2.93%)
pleasant camera tilt
(-0.46%)
pleasant composition
(-47.27%)
pleasant lighting
(-7.90%)
pleasant pattern
(6.42%)
pleasant perspective
(11.99%)
pleasant post processing
(-1.57%)
pleasant reflection
(3.30%)
pleasant symmetry
(0.44%)
sharply focused subject
(1.10%)
tastefully blurred
(-3.59%)
well chosen subject
(-40.70%)
well framed subject
(0.96%)
well timed shot
(13.20%)
all
(1.70%)
* 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.