Photos | Embracing the Wilderness
Captured on 8th November, 2023, Lori S dons a vibrant purple knitwear sweater and sleek black pants. Standing amidst the breathtaking landscape of Hog Island's verdant grasslands, her happy smile echoes the calm aura of the countryside. An outstanding figure in the field, her casual style perfectly complements the rural simplicity. This photograph serves as a reminder of the harmonious blend of nature and human spirit at its best.
BLIP-2 Description:
a woman in a purple sweater and black pants standing in a fieldChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
wilderness knitwear grass outdoors dress countryside container long hill lori s blouse jeans sky happy plant teen tree girl rural sleeve accessories bag beverage photography equipment outdoor pants sunglasses optical glasses footwear luggage co grassland water vegetation oyster portrait sweater outstanding alcohol hog handbag walking farm land island smile vineyard scarf nature soil field shoe
iso
50
metering mode
5
aperture
f/3.5
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-08T14:01:45.410000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(64.70%)
curation
(66.47%)
highlight visibility
(5.77%)
behavioral
(90.87%)
failure
(-0.20%)
harmonious color
(2.38%)
immersiveness
(0.54%)
interaction
(2.00%)
interesting subject
(46.95%)
intrusive object presence
(-3.59%)
lively color
(5.66%)
low light
(0.46%)
noise
(-2.15%)
pleasant camera tilt
(-1.42%)
pleasant composition
(31.15%)
pleasant lighting
(18.47%)
pleasant pattern
(1.61%)
pleasant perspective
(6.70%)
pleasant post processing
(-1.21%)
pleasant reflection
(-2.94%)
pleasant symmetry
(0.22%)
sharply focused subject
(17.60%)
tastefully blurred
(26.49%)
well chosen subject
(29.35%)
well framed subject
(72.66%)
well timed shot
(13.31%)
all
(13.79%)
* 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.