Photos | The Ultimate Crowd Pleaser at Coachella 2017
Nimo, Alessio Scalzotto, Julius Nitschkoff, Jūmonji Tomokazu and Jacob Latimore hype up the crowd with their hands up and sunglasses on. The energy is electric as the audience celebrates under the night sky.
BLIP-2 Description:
a crowd of people at a concert with their hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
machine room urban consumer scalzotto travel coachella entertainment wristwatch nimo jacob latimore accessories cheering julius nitschkoff jewelry sport tennis sunglasses night glasses celebrating alessio crowd necklace concert tomokazu audience april trip party interior canon ball mobile phone nightclub eos life jūmonji bracelet hat easter spring electronics fun
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2017-04-16T19:43:33.790000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.81%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.24%)
harmonious color
(1.37%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-11.41%)
intrusive object presence
(-22.07%)
lively color
(-18.54%)
low light
(64.40%)
noise
(-2.29%)
pleasant camera tilt
(-10.95%)
pleasant composition
(-76.66%)
pleasant lighting
(-48.71%)
pleasant pattern
(3.56%)
pleasant perspective
(11.74%)
pleasant post processing
(2.33%)
pleasant reflection
(-0.80%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.37%)
tastefully blurred
(-1.30%)
well chosen subject
(-8.12%)
well framed subject
(-36.38%)
well timed shot
(17.87%)
all
(-5.08%)
* 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.