Photos | Visions of Coachella
Kaleigh Fratkin, Lawrence Kao, and Sandra Aguilar immersed in the vibrant crowd at Coachella 2016, soaked in lights and sound, surrounded by like-minded music lovers.
BLIP-2 Description:
a crowd of people at a music festivalChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
bracelet lawrence kao sunday spotlight urban rock mobile arts hat wristwatch performing performance party art fun fratkin glasses coachella audience life interior sunglasses electronics rekognition_c aguilar jewelry light sandra accessories nightclub room night recreation lighting kaleigh phone concert crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2016-04-17T18:44:43-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.72%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.49%)
harmonious color
(-0.56%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-34.06%)
intrusive object presence
(-16.21%)
lively color
(-28.91%)
low light
(46.17%)
noise
(-1.39%)
pleasant camera tilt
(-14.76%)
pleasant composition
(-76.61%)
pleasant lighting
(-54.83%)
pleasant pattern
(5.10%)
pleasant perspective
(-4.12%)
pleasant post processing
(-0.33%)
pleasant reflection
(-4.93%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.20%)
tastefully blurred
(-14.00%)
well chosen subject
(1.34%)
well framed subject
(-42.29%)
well timed shot
(24.87%)
all
(-6.93%)
* 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.