Photos | Captivating Countryside Gathering - 2023

A vibrant assembly of 43 people donned in diverse headgear, basking under a brilliant blue sky in the heart of rolling hills on November 8, 2023. A spectacle of sun hats and baseball caps color the scene, while the outdoor spirit comes alive in the hint of parked vehicles and hiking enthusiasm. The rural charm of Hog Island Oyster Co's 'Outstanding in the Field' event uniquely captured. Venture into nature's delight, capturing the essence of rural adventure and camaraderie.
BLIP-2 Description:
a group of people standing in a fieldMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture straw activities headgear pants soil building outstanding hiking plateau leisure oyster footwear cap pickup outdoors transportation hat tent field rural outdoor utensil baseball cap sky hill co bag shoe land island sun truck hog glasses audience airport umbrella nature car vehicle camping accessories adventure handbag walking countryside part photography back concert crowd shelter
iso
50
metering mode
5
aperture
f/8
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2023-11-08T14:17:19.250000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(51.17%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.12%)
harmonious color
(15.23%)
immersiveness
(2.10%)
interaction
(1.00%)
interesting subject
(-25.17%)
intrusive object presence
(-8.57%)
lively color
(5.56%)
low light
(2.29%)
noise
(-0.20%)
pleasant camera tilt
(-6.15%)
pleasant composition
(-50.39%)
pleasant lighting
(27.39%)
pleasant pattern
(2.32%)
pleasant perspective
(12.70%)
pleasant post processing
(3.79%)
pleasant reflection
(2.17%)
pleasant symmetry
(0.63%)
sharply focused subject
(1.15%)
tastefully blurred
(-4.58%)
well chosen subject
(16.82%)
well framed subject
(-51.17%)
well timed shot
(2.63%)
all
(7.21%)
* 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.