Photos | Misty Mountain and Industrial Waterfront

A hazy afternoon captures boats, cranes, and a distant mountain range across the bustling bay.
Full Description:
This image, taken on May 11, 2024, presents a serene yet complex scene where nature and industrialization converge. In the foreground, the clarity of the industrial waterfront is evident with cargo cranes and vessels actively engaged in transportation, hinting at the daily rhythm of logistic operations. Beyond the industrious scene, the calm water of the bay reflects a dynamic environment under a vast, open sky. The mountain range in the background stands majestic, partially veiled by a thin mist that blurs the line between the earth and the sky, adding a layer of mystery and depth to the landscape. This scene encompasses themes of nature, outdoors, and transportation, making it a captivating snapshot of a typical yet subtly complex day along the water’s edge.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/9
focal length
500mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-05-11T16:21:25.920000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.32%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-0.83%)
harmonious color
(9.59%)
immersiveness
(0.78%)
interaction
(2.00%)
interesting subject
(-39.87%)
intrusive object presence
(-14.65%)
lively color
(-14.14%)
low light
(0.22%)
noise
(-0.61%)
pleasant camera tilt
(-11.37%)
pleasant composition
(-14.39%)
pleasant lighting
(-48.61%)
pleasant pattern
(1.17%)
pleasant perspective
(14.44%)
pleasant post processing
(5.36%)
pleasant reflection
(-5.77%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.15%)
tastefully blurred
(-5.48%)
well chosen subject
(0.63%)
well framed subject
(-12.93%)
well timed shot
(11.68%)
all
(1.20%)
* 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.