Photos | Nighttime Watering Hole
Crowds gather around a water refill station at Empire Polo Club in Indio, United States during the 2019 festival season. The illuminated shelter provides a cool respite from the desert heat - and a showcase for the eclectic mix of footwear, headwear, and accessories on display.
BLIP-2 Description:
people standing around a water refill station at nightChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
lighting cap shelter outdoors monroe train floor apple station travel vehicle hardhat screen polo part indio coachella racket refill transportation back xs st bag accessories helmet max shirt baseball sport pants tennis states glasses iphone footwear building valley architecture crowd club water april trip shorts empire sneaker flooring terminal handbag railway united california advertisement hat ca spring electronics shoe
iso
250
metering mode
3
aperture
f/1.8
exposure bias
0.13
focal length
4mm
latitude
33.68
longitude
-116.24
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2019-04-19T20:38:46.425000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.40%)
curation
(75.00%)
highlight visibility
(82.60%)
behavioral
(70.53%)
failure
(-0.29%)
harmonious color
(4.15%)
immersiveness
(0.15%)
interaction
(4.00%)
interesting subject
(-7.00%)
intrusive object presence
(-16.02%)
lively color
(-16.38%)
low light
(88.67%)
noise
(-7.03%)
pleasant camera tilt
(-8.24%)
pleasant composition
(-71.73%)
pleasant lighting
(-44.41%)
pleasant pattern
(5.93%)
pleasant perspective
(5.88%)
pleasant post processing
(3.85%)
pleasant reflection
(0.15%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.12%)
tastefully blurred
(-5.58%)
well chosen subject
(-18.38%)
well framed subject
(-39.45%)
well timed shot
(3.38%)
all
(-5.79%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, 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.