Photos | Capturing Moments with Nature: A Selfie Adventure
Dave B and Lori S taking time to capture their refreshing adventure in the countryside - a perfect blend of companionship, summer blues, and stunning green vistas. Marshall, California - where wilderness pairs perfectly with smiles and selfies. Snapshot from the '2023 Outstanding in the Field - Hog Island Oyster Co' album, depicting the joy of exploring the great outdoors. (Taken on November 8, 2023).
BLIP-2 Description:
a man and woman taking a selfie in front of a fieldChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
Location:
wilderness scenery grass outdoors countryside activities hill dave lori s coast blouse sky happy plant tree sea adventure summer hiking natural environment accessories shirt photography rock outdoor woodland sunglasses beach glasses lake selfie co grassland optical equipment water vegetation landscape oyster portrait outstanding hog land leisure island smile shoreline scarf nature field coat
iso
25
metering mode
5
aperture
f/1.9
focal length
3mm
latitude
38.16
longitude
-122.89
shutter speed
1/600s
camera make
Apple
camera model
date
2023-11-08T14:03:05.968000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(60.11%)
curation
(68.98%)
highlight visibility
(5.96%)
behavioral
(90.90%)
failure
(-0.22%)
harmonious color
(3.85%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(58.89%)
intrusive object presence
(-1.61%)
lively color
(31.67%)
low light
(0.22%)
noise
(-4.42%)
pleasant camera tilt
(-1.13%)
pleasant composition
(12.12%)
pleasant lighting
(-3.03%)
pleasant pattern
(4.61%)
pleasant perspective
(1.11%)
pleasant post processing
(-0.80%)
pleasant reflection
(-10.65%)
pleasant symmetry
(0.44%)
sharply focused subject
(6.57%)
tastefully blurred
(10.38%)
well chosen subject
(50.20%)
well framed subject
(58.54%)
well timed shot
(7.64%)
all
(10.33%)
* 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.