Photos | Green-Tinted Moments at Coachella 2024

Festival mood set high at Coachella’s vibrant Weekend 2, captured through a striking green filter
Full Description:
This intriguing photograph from the Coachella 2024 music festival, dated April 20th, presents two festival-goers standing inside an architectural structure awash with a surreal, green hue. The person on the left is wearing a floral patterned shirt, dark shorts, a cap, and carries a casual demeanor as he glances outside. The person on the right, with detailed tattoos and long hair, stands shirtless in faded jeans shorts and a belt, embodying the free-spirited festival vibe. They overlook the sprawling festival grounds dotted with vibrant attendees beneath the clear blue sky, framed by distant mountains. This photo, part of the Dave Bullock / eecue collection, encapsulates the festival’s eclectic atmosphere, its fashion, and its ephemeral moments of leisure and reflection amidst the exuberance of Coachella 2024 Weekend 2.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2024-04-20T14:22:49.370000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
curation
(50.00%)
highlight visibility
(2.60%)
behavioral
(90.81%)
failure
(-0.63%)
harmonious color
(2.03%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(36.01%)
intrusive object presence
(-5.25%)
lively color
(-44.63%)
low light
(90.43%)
noise
(-1.32%)
pleasant camera tilt
(-1.64%)
pleasant composition
(-9.83%)
pleasant lighting
(-34.72%)
pleasant pattern
(4.88%)
pleasant perspective
(0.34%)
pleasant post processing
(-88.43%)
pleasant reflection
(4.52%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.66%)
tastefully blurred
(-23.35%)
well chosen subject
(-17.03%)
well framed subject
(36.74%)
well timed shot
(21.61%)
all
(-10.38%)
* 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.