Photos | Coachella Entrance Sign on Fence
This sign on a fence marks the entrance to the Coachella festival in 2007. The text, map, and symbols advertise the event, while the hardware and electronics used to create the sign blend seamlessly with the surrounding landscape.
BLIP-2 Description:
a sign on a fence that says coachellaMetadata
Capture date:
Original Dimensions:
2912w x 4368h - (download 4k)
Usage
Dominant Color:
map coachella plant grass legend april help stay tool sign electronics symbol venue camping bottle recycling center sunday bottles time fence hydrated new poster allowed hardware except theate please water clean grounds club polo computer access no perimeter empties advertisement street 楼 coachelva keep empire sahara outdoor text document recycle empty including coachella_sunday field get net
Detected Text
07 1 10 1n818 27 28 2g 30 access allowed april all bottle bottles club coachelva center coachella empty empire get grounds help including keep legend outdoor polo please recycle sahara stay street theate time venue w and at camping clean empties except field for hydrated new no of only recycling same the water within you your 楼
iso
100
metering mode
5
aperture
f/2.8
focal length
34mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
overall
(35.40%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.26%)
failure
(-0.20%)
harmonious color
(5.23%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-64.65%)
intrusive object presence
(-2.93%)
lively color
(26.54%)
low light
(1.07%)
noise
(-2.81%)
pleasant camera tilt
(-7.08%)
pleasant composition
(3.28%)
pleasant lighting
(16.00%)
pleasant pattern
(31.03%)
pleasant perspective
(12.21%)
pleasant post processing
(0.69%)
pleasant reflection
(3.76%)
pleasant symmetry
(1.37%)
sharply focused subject
(11.89%)
tastefully blurred
(32.25%)
well chosen subject
(-5.54%)
well framed subject
(29.59%)
well timed shot
(3.68%)
all
(9.72%)
* WARNING: The title and caption of this image were generated with AI (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.