Photos | Night Game: Beyond the Fence

A candid scene from an impromptu nighttime gathering, blending sports and leisure under the glow of floodlights.
Full Description:
Captured at the Coachella 2024 event on April 21st, this image uniquely portrays a spontaneous and lively scene at a makeshift outfield. The photo features six individuals, softly illuminated by perimeter lighting, engaged in what seems like a casual yet animated exchange near a baseball setup. The darkness of the night, accentuated by the glow of overhead lights and deep shadows, juxtaposes the energy palpable among the group. Despite the blurring, which lends an artistic touch while emphasizing movement, you can feel the vivid dynamic among the players enclosed by a chain-link fence, hinting at both a physical and metaphorical boundary. The setting is symbolically outdoors and festive, encapsulating a moment of sportive joy among festival-goers venturing beyond the day's musical activities.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
8000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2024-04-21T01:22:04.770000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(7.77%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.51%)
failure
(-15.89%)
harmonious color
(-0.98%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-72.31%)
intrusive object presence
(-5.71%)
lively color
(-38.77%)
low light
(99.61%)
noise
(-15.84%)
pleasant camera tilt
(-9.43%)
pleasant composition
(-75.44%)
pleasant lighting
(-73.29%)
pleasant pattern
(4.69%)
pleasant perspective
(-4.75%)
pleasant post processing
(1.25%)
pleasant reflection
(-0.27%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.07%)
tastefully blurred
(-88.43%)
well chosen subject
(-6.25%)
well framed subject
(-39.06%)
well timed shot
(-15.94%)
all
(-14.80%)
* 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.