Photos | Urban Rendezvous at Coachella 2024
![Urban Rendezvous at Coachella 2024](https://eecue.com/img/640/642d01ca80.jpg)
Cyclists and vehicles share a peaceful night scene on the tarmac at Coachella, captured under the palm-lined skies of April.
Full Description:
This nighttime photograph taken on April 21, 2024, at Coachella festival's second weekend manages to elegantly capture the bustling yet harmonious intersection of various forms of transportation. Seven people, prominently seen cycling, navigate through the urban setup, illuminated by vehicle lights and ambient festival lighting against a backdrop of iconic palm trees. The scene includes two bicycles, two cars, and a bus, underscoring the diverse modes of transportation commonly used in festival environments. The tarmac shines under the glow of street lamps, reflecting the liveliness of the city even at late hours. The surrounding trees and distant city lights add depth and context to the festival's urban desert setting, exemplifying the blend of nature and human endeavor typical of such large-scale events.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
40000
metering mode
5
aperture
f/3.2
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
overall
(37.04%)
curation
(50.00%)
highlight visibility
(3.82%)
behavioral
(70.58%)
failure
(-1.78%)
harmonious color
(-0.07%)
immersiveness
(8.54%)
interaction
(1.00%)
interesting subject
(-47.29%)
intrusive object presence
(-6.01%)
lively color
(-17.07%)
low light
(67.14%)
noise
(-10.60%)
pleasant camera tilt
(-6.75%)
pleasant composition
(-32.32%)
pleasant lighting
(-24.08%)
pleasant pattern
(11.13%)
pleasant perspective
(3.28%)
pleasant post processing
(-0.35%)
pleasant reflection
(-1.54%)
pleasant symmetry
(1.76%)
sharply focused subject
(0.61%)
tastefully blurred
(-11.63%)
well chosen subject
(-3.13%)
well framed subject
(-25.20%)
well timed shot
(0.66%)
all
(-0.84%)
* 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.