Photos | Epic Crowd at Coachella Concert
A sea of music lovers gather for a group performance amidst palm trees and green hills at Coachella 2007.
BLIP-2 Description:
a crowd of people watching a concert on stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
group activities coachella_friday plant pianist leisure chair music footwear speaker keyboard stage tent hat microphone tree musician mitsutoshi shimabukuro furniture outdoor performance hill shoe land bench hestler machine glasses indoors coachella audience friday wheel electronics grass performer accessories musical instrument band speakers rodrigo corrales device palm andreas concert crowd piano electrical
iso
100
metering mode
5
aperture
f/2.8
focal length
52mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-04-27T14:12:13-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.95%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.17%)
harmonious color
(4.87%)
immersiveness
(1.22%)
interaction
(1.00%)
interesting subject
(-10.53%)
intrusive object presence
(-9.01%)
lively color
(-8.72%)
low light
(1.71%)
noise
(-0.63%)
pleasant camera tilt
(-6.01%)
pleasant composition
(-64.60%)
pleasant lighting
(-17.30%)
pleasant pattern
(7.30%)
pleasant perspective
(18.43%)
pleasant post processing
(2.43%)
pleasant reflection
(-3.44%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.42%)
tastefully blurred
(-5.98%)
well chosen subject
(9.33%)
well framed subject
(-46.31%)
well timed shot
(9.28%)
all
(0.71%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.