Photos | Greenhouse Serenity: A Young Botanist in the Making
Captured on a sunny afternoon in 2024, this captivating portrait features a young boy, swathed in denim and knitwear, lost in the placidity of the Conservatory of Flowers at Golden Gate Park. Seated on a rustic wooden bench surrounded by lush foliage and vibrant blooms, his beaming smile and quiet awe paints the perfect picture of youthful joy and the captivating allure of nature. With one hand resting on the slate path, he looks like a curious explorer, ready to unearth secrets of the verdant world around him. A charming blend of vibrant nature and pure happiness.
BLIP-2 Description:
a young boy sitting on a bench in a greenhouseChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
slate wood vegetation jeans portrait child eek sneaker footwear arbour garden path foliage park houseplant golden tree potted soil bench decorative flower happy gardens table conservatory shoe outdoors nature sleeve boy knitwear gate pants plant flowers long sweater wesley furniture photography sitting walkway smile leaf part
iso
1000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(59.81%)
curation
(66.72%)
highlight visibility
(5.63%)
behavioral
(70.55%)
failure
(-0.07%)
harmonious color
(4.44%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(40.33%)
intrusive object presence
(-8.59%)
lively color
(8.21%)
low light
(42.72%)
noise
(-0.39%)
pleasant camera tilt
(-2.37%)
pleasant composition
(-14.51%)
pleasant lighting
(-4.11%)
pleasant pattern
(4.42%)
pleasant perspective
(19.13%)
pleasant post processing
(5.60%)
pleasant reflection
(0.95%)
pleasant symmetry
(0.90%)
sharply focused subject
(3.13%)
tastefully blurred
(-0.93%)
well chosen subject
(-13.66%)
well framed subject
(55.62%)
well timed shot
(17.70%)
all
(8.00%)
* 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,
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