Photos | Joyful Afternoon at the San Francisco Botanical Garden

Radiating warmth under the clear blue sky, a vivacious scene of the Botanical Garden is captured as Alma embraces Wesley for a cherished moment. The playful yellow hat on Wesley's curious head injects a blast of fun to the scene. Despite the bustling city living, nothing could outshine the simple joy of our garden getaway on this beautiful day in September 2023.
BLIP-2 Description:
a woman holding a child in a park with a yellow hatMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
housing path cap walkway knitwear grass jacket outdoors city alma furniture urban dress play baby wesley car vehicle sky happy child plant tree transportation summer wristwatch accessories garden sidewalk photography equipment baseball area outdoor street woodland pants road animal sunglasses optical glasses building park architecture pergola sun hat vegetation bench portrait sweater coat visits grove arbour house land hat smile fence patio zoo nature porch wood
iso
100
metering mode
5
aperture
f/16
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-09-23T14:45:31.588000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.75%)
curation
(66.16%)
highlight visibility
(5.74%)
behavioral
(90.82%)
failure
(-0.51%)
harmonious color
(2.13%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-12.82%)
intrusive object presence
(-21.61%)
lively color
(-4.59%)
low light
(30.57%)
noise
(-2.15%)
pleasant camera tilt
(2.12%)
pleasant composition
(-41.67%)
pleasant lighting
(-30.22%)
pleasant pattern
(4.88%)
pleasant perspective
(12.82%)
pleasant post processing
(3.71%)
pleasant reflection
(1.36%)
pleasant symmetry
(1.15%)
sharply focused subject
(1.66%)
tastefully blurred
(-9.59%)
well chosen subject
(-33.89%)
well framed subject
(35.38%)
well timed shot
(11.98%)
all
(-0.45%)
* 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.