Photos | Behind the Scenes: The Faces of Festival Security

Two event staff members at Coachella 2024, captured during a sunny afternoon, their expressions poised between alertness and ease amidst a backdrop of iconic palm trees and tent structures.
Full Description:
Photographed on April 20, 2024, this image showcases two members of the event security team at Coachella's second weekend, donning reflective vests and caps for high visibility. The setting is marked by the prominent white tents and towering palm trees typical of the famed music festival held annually at Indio, California. The young men's expressions provide a glimpse into the multifaceted roles of event staff—balancing the maintenance of order with enjoyment of the festival's vibrant atmosphere. The image is part of the 2024 album on Dave Bullock / eecue's personal photo website, capturing moments of both the grandeur and the grounded, behind-the-scenes efforts that make the event a success.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/4.5
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-20T17:17:03.550000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.10%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.29%)
harmonious color
(2.01%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(18.93%)
intrusive object presence
(-9.23%)
lively color
(7.34%)
low light
(68.12%)
noise
(-0.81%)
pleasant camera tilt
(-6.78%)
pleasant composition
(-44.38%)
pleasant lighting
(-35.11%)
pleasant pattern
(11.87%)
pleasant perspective
(7.18%)
pleasant post processing
(6.57%)
pleasant reflection
(-5.66%)
pleasant symmetry
(1.71%)
sharply focused subject
(2.49%)
tastefully blurred
(7.37%)
well chosen subject
(-12.33%)
well framed subject
(31.40%)
well timed shot
(-4.06%)
all
(-0.69%)
* 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.