Photos | Quiet Streets and Vibrant Nights at Coachella 2024

A serene street scene encapsulates the calm before the festival storm, flanked by classic picket fencing under the night sky at Coachella 2024.
Full Description:
This photograph captures a quiet moment along a beautifully lit street near the vibrant Coachella music festival grounds on a warm April night in 2024. The image features a quintessential white picket fence lining the road, adding a touch of suburban charm to the festival's bustling environment. The contrast between the peaceful, empty street and the potential energy of thousands of festival-goers nearby creates a captivating narrative of anticipation and excitement. The scene is illuminated by distant festival lights and overhead street lamps, highlighting the lush roadside greenery and setting a mood that is both inviting and introspective. This photo not only depicts a physical location but also evokes the spirit of one of the most anticipated musical events of the year.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-21T00:52:54.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.79%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-2.10%)
harmonious color
(-2.48%)
immersiveness
(22.80%)
interaction
(1.00%)
interesting subject
(-59.86%)
intrusive object presence
(-12.70%)
lively color
(-22.13%)
low light
(87.50%)
noise
(-11.65%)
pleasant camera tilt
(-4.94%)
pleasant composition
(-31.49%)
pleasant lighting
(-45.43%)
pleasant pattern
(13.60%)
pleasant perspective
(4.24%)
pleasant post processing
(0.90%)
pleasant reflection
(2.61%)
pleasant symmetry
(3.81%)
sharply focused subject
(0.37%)
tastefully blurred
(-6.11%)
well chosen subject
(3.01%)
well framed subject
(-26.42%)
well timed shot
(-1.85%)
all
(-1.49%)
* 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.