Photos | Unforgettable Gathering Under the Sky

A tranquil moment caught on 8th November 2023, displaying a lively group of 29 people in the midst of the stunning grasslands and rolling hills at the Hog Island Oyster Co. event. This photograph encapsulates the heartwarming camaraderie amongst individuals and the serene beauty of the natural surroundings. Unified by sun hats, glasses, and the joy of shared experiences, the crowd stands like dots on the canvas of emerald landscape under a radiant blue sky.
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 boy pants jeans soil building outstanding hiking wilderness chair child oyster footwear baseball cap leisure outdoors transportation hat tent field furniture outdoor rural utensil pet sky hill co shoe bag land island grassland dog sun hog scenery glasses audience nature canine car grass vehicle camping accessories adventure handbag countryside photography mammal animal concert crowd box shelter
iso
50
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2023-11-08T14:17:21.430000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(45.73%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.82%)
failure
(-0.20%)
harmonious color
(9.95%)
immersiveness
(2.42%)
interaction
(1.00%)
interesting subject
(-26.64%)
intrusive object presence
(-9.03%)
lively color
(8.95%)
low light
(0.29%)
noise
(-0.46%)
pleasant camera tilt
(-9.71%)
pleasant composition
(-71.63%)
pleasant lighting
(18.53%)
pleasant pattern
(1.68%)
pleasant perspective
(4.27%)
pleasant post processing
(1.43%)
pleasant reflection
(3.09%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.63%)
tastefully blurred
(-0.90%)
well chosen subject
(10.44%)
well framed subject
(-58.54%)
well timed shot
(4.88%)
all
(3.46%)
* 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.