Photos | Securing Nature: A Glimpse of Urban Boundary

A weathered sign reading 'Another Dan’s Drilling Fence' hangs on a chain-link fence at Alemany Farm, blending urban elements with the natural scene during Earth Day celebrations.
Full Description:
Taken during the Earth Day celebrations at Alemany Farm on April 27, 2024, this photo features a distinct, yellow sign with bold text attached to a black chain-link fence. The sign, advertising 'Dan’s Drilling Fence' from Daly City/San Francisco, brings an urban juxtaposition against the backdrop of lush green vegetation, partially seen behind it. This image captures the interface of human-made boundaries and the organic growth of nature, highlighting themes of coexistence and environmental awareness. The wear on the sign suggests it has withstood various elements, adding a sense of history and endurance to the scene. Light filters through the wiry fence, playing a dance of shadows that enriches the texture of the picture.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-04-27T12:44:18.470000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.39%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.13%)
failure
(-0.10%)
harmonious color
(2.77%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-49.54%)
intrusive object presence
(-2.61%)
lively color
(1.40%)
low light
(10.08%)
noise
(-3.71%)
pleasant camera tilt
(-2.69%)
pleasant composition
(6.64%)
pleasant lighting
(27.78%)
pleasant pattern
(11.06%)
pleasant perspective
(22.99%)
pleasant post processing
(1.65%)
pleasant reflection
(4.15%)
pleasant symmetry
(1.51%)
sharply focused subject
(37.06%)
tastefully blurred
(69.97%)
well chosen subject
(4.91%)
well framed subject
(75.59%)
well timed shot
(7.48%)
all
(13.77%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-turbo-2024-04-09
from
OpenAI)
using OpenAI's Vision functionality
, 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.