Photos | A Garden Getaway in the Heart of San Francisco

Lori S and friend, beaming with happiness, amidst the lush greenery of the San Francisco Botanical Garden. Their causal style, complete with comfortable jeans and stylish sunglasses, perfectly suited for this delightful urban escape. A day of exploration, the ladies still appear energized despite the weight of their backpacks. Photograph taken on 23rd September, 2023.
BLIP-2 Description:
two women standing in front of a gateMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
knitwear path walkway jacket shelter grass housing outdoors city alma urban dress furniture container lady long lori jeans blouse car vehicle sky happy plant tree transportation summer sleeve accessories bag garden photography sidewalk wood sale outdoor street woodland pants road animal sunglasses glasses building park architecture luggage backpack vegetation bench portrait sweater purse visits grove arbour handbag walking house land hat smile fence zoo patio nature porch coat
iso
100
metering mode
5
aperture
f/14
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-09-23T14:44:58.499000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.79%)
curation
(66.65%)
highlight visibility
(5.78%)
behavioral
(90.86%)
failure
(-0.27%)
harmonious color
(0.63%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(38.35%)
intrusive object presence
(-12.48%)
lively color
(-0.83%)
low light
(21.34%)
noise
(-2.98%)
pleasant camera tilt
(0.72%)
pleasant composition
(-25.95%)
pleasant lighting
(-31.91%)
pleasant pattern
(10.89%)
pleasant perspective
(14.11%)
pleasant post processing
(0.16%)
pleasant reflection
(-0.36%)
pleasant symmetry
(2.34%)
sharply focused subject
(2.12%)
tastefully blurred
(0.73%)
well chosen subject
(-23.62%)
well framed subject
(45.58%)
well timed shot
(13.50%)
all
(2.34%)
* 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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