Photos | Festival Frenzy
Crowds gather at Coachella 2017 to enjoy music, sunshine and good company. Maddie Rooney, Lee Dong-jun, Peter Lik, and Gisele Miró among the 54,000 music enthusiasts who came together to celebrate. #Coachella #Concert #Crowd
BLIP-2 Description:
a crowd of people at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
Location:
speaker cap grass peter lik maddie rooney continental united states gisele sky plant tree coachella los wristwatch downtown accessories che baseball outdoor jewelry jun states sunglasses glasses footwear grand crowd ave dong concert lee audience april miró canon eos angeles united california broad bracelet headgear land blue sky hat festival ca spring electronics necklace shoe
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2017-04-14T15:17:26.830000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.65%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-0.29%)
harmonious color
(1.05%)
immersiveness
(1.49%)
interaction
(1.00%)
interesting subject
(24.55%)
intrusive object presence
(-10.64%)
lively color
(5.74%)
low light
(4.81%)
noise
(-1.78%)
pleasant camera tilt
(-9.16%)
pleasant composition
(-57.47%)
pleasant lighting
(-22.97%)
pleasant pattern
(17.53%)
pleasant perspective
(10.55%)
pleasant post processing
(-3.61%)
pleasant reflection
(3.45%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.76%)
tastefully blurred
(1.96%)
well chosen subject
(3.75%)
well framed subject
(-44.36%)
well timed shot
(18.91%)
all
(1.60%)
* 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.