Photos | Midnight Oasis: Machines Amidst Nature at Coachella 2024

A nocturnal glimpse of parked vehicles blending with the tranquil night-time landscape at Coachella 2024, Week 2.
Full Description:
This photograph captures a serene night scene from the second weekend of Coachella 2024, dated April 21, 2024. Highlighted are two cars resting on a grassy expanse backed by a high fence and flanked by sparse plant life and palms, under the glow of a distant floodlight. The presence of the vehicles underscores a seamless junction of human activity with natural elements, hinting at the quiet hours of an otherwise bustling festival environment. This image, rich in details such as the texture of the grass illuminated under night lights and the outline of alloy wheels on the vehicles, evocatively merges themes of transportation and nature, suggesting a moment of pause in the vibrant festival timeline.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
51200
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
2024-04-21T00:47:25.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-1.83%)
harmonious color
(1.38%)
immersiveness
(1.29%)
interaction
(1.00%)
interesting subject
(-57.62%)
intrusive object presence
(-17.87%)
lively color
(-27.22%)
low light
(97.95%)
noise
(-18.95%)
pleasant camera tilt
(-8.69%)
pleasant composition
(-29.69%)
pleasant lighting
(-61.08%)
pleasant pattern
(3.64%)
pleasant perspective
(4.51%)
pleasant post processing
(3.62%)
pleasant reflection
(3.11%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.20%)
tastefully blurred
(-8.42%)
well chosen subject
(-2.56%)
well framed subject
(-6.92%)
well timed shot
(-1.18%)
all
(-5.61%)
* 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.