Photos | Urban Nature's Twist: Tree Attired!

Captured on a whimsical afternoon in San Francisco, this photograph uniquely fuses my two loves: Urban landscapes and Humorous twists to reality. Don't miss noticing the eccentric 'hat-ted' tree caught under the perfect October sky and other everyday dynamics of the city life around! Photo taken during my Random October photography tour – an exploration of the ordinary turned extraordinary.
BLIP-2 Description:
a person taking a photo of a tree with a hat on itMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture civic tues selfie neighborhood trunk urban plant building fence portrait window flower mobile flower bouquet arrangement outdoors transportation sidewalk hat walkway tree road outdoor sky city sun hat land street thurs machine randoms camera no parking mission path sunglasses electronics sign car vehicle alley accessories balcony october potted automobile phone photography center hayes valley cloudy symbol shelter
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.78
longitude
-122.42
shutter speed
1/99s
camera make
Apple
camera model
date
2023-10-20T16:47:31.662000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(51.37%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-0.15%)
harmonious color
(4.27%)
immersiveness
(2.32%)
interaction
(1.00%)
interesting subject
(4.35%)
intrusive object presence
(-6.67%)
lively color
(4.18%)
low light
(3.54%)
noise
(-2.00%)
pleasant camera tilt
(-4.80%)
pleasant composition
(-34.08%)
pleasant lighting
(10.28%)
pleasant pattern
(9.38%)
pleasant perspective
(27.17%)
pleasant post processing
(1.27%)
pleasant reflection
(-0.82%)
pleasant symmetry
(3.66%)
sharply focused subject
(1.42%)
tastefully blurred
(0.82%)
well chosen subject
(-6.70%)
well framed subject
(8.27%)
well timed shot
(5.66%)
all
(6.58%)
* 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.