Photos | Urban Concert Crowd at Coachella 2016
Mat Latos and Timmy Trumpeter are just two of the 14 people captured in this photo of the energetic and stylish crowd at Coachella 2016, complete with hats, jewelry, and fun accessories.
BLIP-2 Description:
a crowd of people at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
room coachella valley monroe st urban sunday baby hardware screen mat latos fun polo timmy indio coachella siantds accessories bag baseball jewelry states iii night glasses crowd club monitor mark trumpeter concert audience april party interior canon empire nightclub eos computer life handbag united california bracelet headgear arts hat art performing ca spring electronics necklace
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2016-04-17T18:36:50.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.32%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.51%)
harmonious color
(-0.78%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-29.64%)
intrusive object presence
(-7.62%)
lively color
(-28.32%)
low light
(41.55%)
noise
(-1.83%)
pleasant camera tilt
(-14.47%)
pleasant composition
(-80.57%)
pleasant lighting
(-69.48%)
pleasant pattern
(5.98%)
pleasant perspective
(-9.11%)
pleasant post processing
(0.24%)
pleasant reflection
(-4.91%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.12%)
tastefully blurred
(-18.55%)
well chosen subject
(-7.60%)
well framed subject
(-54.74%)
well timed shot
(5.08%)
all
(-11.08%)
* 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.