Photos | Urban Rejuvenation in Progress

Captured on September 3, 2023, this snapshot offers a glimpse into the heart of urban life. Amidst the bustling cityscape, a construction crew works diligently to improve our streets, their diverse set of equipment dotting the landscape. Trucks, machinery, and hardhats acting as reminders of their dedication to progress. It’s a fascinating juxtaposition of nature and machine; trees and shrubs standing tall next to asphalt and construction, a fluid symbiosis of urban growth and delicately preserved natural beauty.
BLIP-2 Description:
a view of a street with construction equipment and a truckMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture neighborhood urban plant building view pickup outdoors transportation roof hat tree road outdoor house city bag pole land street bird asphalt truck machine randoms heights shrub cityscape wheel car vehicle accessories utility housing automobile animal worker bernal handbag aerial suburb
iso
80
metering mode
3
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/646s
camera make
Apple
camera model
date
2023-09-03T10:32:57.947000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(32.93%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.32%)
harmonious color
(0.26%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-36.77%)
intrusive object presence
(-4.61%)
lively color
(-1.33%)
low light
(1.81%)
noise
(-7.71%)
pleasant camera tilt
(-7.25%)
pleasant composition
(-59.91%)
pleasant lighting
(1.10%)
pleasant pattern
(11.25%)
pleasant perspective
(13.71%)
pleasant post processing
(-2.48%)
pleasant reflection
(-4.29%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.54%)
tastefully blurred
(-6.79%)
well chosen subject
(-14.42%)
well framed subject
(-31.62%)
well timed shot
(-0.20%)
all
(-0.89%)
* 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.