Photos | Steps of Youth: A Moment Together at Coachella 2024

Caught in motion, the grounded perspective showcasing the synergy of youthful steps and lively connections at Coachella's second weekend.
Full Description:
This image, taken on April 19th, 2024, during the vibrant and bustling second weekend of Coachella, captures an intriguing perspective of attendees from above. It records the feet of three individuals—two teens suggested by the presence of sneakers and youthful styling, and possibly an older team member. Their footwear ranges from practical running shoes to classic black and white sneakers, denoting a mix of comfort and style suited for a music festival's demands. The grass, peeking through where tarmac meets a temporary walkway, underscores the blend of nature and human-made structures typical at such events. The photo resonates with the casual, relaxed atmosphere of Coachella, where music and movement manifest in every corner.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-04-19T17:31:49.030000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.94%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-0.44%)
harmonious color
(1.83%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(-38.23%)
intrusive object presence
(-65.77%)
lively color
(-8.29%)
low light
(9.74%)
noise
(-5.66%)
pleasant camera tilt
(-7.78%)
pleasant composition
(-80.52%)
pleasant lighting
(6.92%)
pleasant pattern
(2.69%)
pleasant perspective
(-3.77%)
pleasant post processing
(0.62%)
pleasant reflection
(5.09%)
pleasant symmetry
(0.63%)
sharply focused subject
(1.10%)
tastefully blurred
(1.61%)
well chosen subject
(6.25%)
well framed subject
(-29.98%)
well timed shot
(8.05%)
all
(-0.95%)
* 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.