Photos | Serenity in the Green: A Day at de Young Museum, 2023
Reveling in nature's heart, this image captures a man and a woman enjoying their exploration amid the lush foliage. Immersed in the verdant garden of the de Young Museum, on that splendid summer afternoon of July 22, 2023, the pair provide a poignant reminder of the simple beauty found in leisure activities outdoors. The 100% confidence tags, including 'Fern,' 'Vegetation,' 'Outdoor,' and 'Nature' highlight the clear bond between humans and the environment. From impromptu canoeing on the quiet pond to bird watching in woodland, this picture encapsulates the spirit of adventure and the tranquil harmony of nature.
BLIP-2 Description:
a man and a woman standing in a gardenMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
ferns young vegetation leaf pond animal museum transportation fir scenery outdoor de water natural botanical bird grass leisure garden path park environment activities tree jungle conifer woodland sports canoeing reed swamp outdoors fern trail nature adventure gardening hiking grove plant rainforest agriculture canoe vehicle sport summer rowboat wilderness boat land
iso
100
metering mode
5
aperture
f/4.5
focal length
28mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(58.89%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.29%)
harmonious color
(11.58%)
immersiveness
(5.22%)
interaction
(1.00%)
interesting subject
(-20.10%)
intrusive object presence
(-9.52%)
lively color
(6.26%)
low light
(1.88%)
noise
(-0.90%)
pleasant camera tilt
(1.78%)
pleasant composition
(-6.77%)
pleasant lighting
(10.70%)
pleasant pattern
(1.81%)
pleasant perspective
(19.47%)
pleasant post processing
(3.30%)
pleasant reflection
(1.28%)
pleasant symmetry
(0.98%)
sharply focused subject
(3.49%)
tastefully blurred
(-2.11%)
well chosen subject
(4.89%)
well framed subject
(6.32%)
well timed shot
(4.07%)
all
(9.84%)
* 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.