Photos | Tear Sheets: Capturing the Energy of a Musical Performance
This Facebook page documents a concert with precision, capturing the faces of the two musicians as well as the energetic crowd. The lighting and electronics on the stage are also visible on the screen in this detailed webpage.
BLIP-2 Description:
a facebook page with a photo of a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
1442w x 1363h - (download 4k)
Usage
Dominant Color:
booth avenue screen number weekend dave text lighting audience sheets tear concert 文 night create file phone talking ago hours like crowd started events edit recent suggest monitor hardware coachella officially california likes venue comment books computer webpage home liked day share reade ratings eecue highlights indio document page electronics follow q
Detected Text
1 1,009,048 131m 149 158,980 20 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 26 27 3 37,105 4 51 800 81 9 92201 avenue books booth california coachella comment concert dave edit highlights home in indio night officially photo photos q reade share v venue weekend y a about ago an create day e events follow here hours is like liked likes number page phone ratings recent started suggest talking the this were 文
overall
(23.16%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.41%)
failure
(-0.44%)
harmonious color
(5.65%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-76.86%)
intrusive object presence
(-3.98%)
lively color
(3.64%)
low light
(0.42%)
noise
(-4.35%)
pleasant camera tilt
(-10.11%)
pleasant composition
(-25.05%)
pleasant lighting
(-2.22%)
pleasant pattern
(2.34%)
pleasant perspective
(10.42%)
pleasant post processing
(4.56%)
pleasant reflection
(-4.95%)
pleasant symmetry
(0.73%)
sharply focused subject
(1.15%)
tastefully blurred
(-6.05%)
well chosen subject
(4.16%)
well framed subject
(10.49%)
well timed shot
(10.63%)
all
(2.68%)
* WARNING: The title and caption of this image were generated with AI (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.