Photos | Stonecutout Website featuring Chang Hao and Lyrics Born
Chang Hao and Lyrics Born show off their Stonecutout T-shirts on the website's poster advertisement.
BLIP-2 Description:
a screen shot of the website for stonecutoutMetadata
Capture date:
Original Dimensions:
675w x 876h - (download 4k)
Usage
Dominant Color:
makoma readin city nw born genocide landlord monday lyrics recent captain mention album hard educate lb lucky zion view steal poster i'ma frofile storytelling laced lot team tell front guitar saturday heroes say pants wwws want hop complete pharisees political crazy mic text document favorite multitude energy common fall orr's hip two waiting lovework show review production luke apocalypse quannum black one stage site silent see sweet abyssinian except first matters better khingz sounds sure sheets page boy addition things gifted brand know wsu induced market group spinnin learn hell grouch got rebuke get cornel gotten quite shows kill campus opening hooking jeans dope webpage january documentary let gold inflammation releases now three something step much listening coup's instrument artists cry set blue practices years creole storyteller like second beats last chang hao scholars watchin musical jazz march lp legend perform blóg abcreole t-shirt emcee teen right said tear saw massline enough hands lifesavas smart included off pretty gabriel's democracy rocking stuff boots sidepart adslack file brooklyn seattle west media advertisement gabriel february teacher rocked teodros release stones best disciples crew juice answered coup andrew fun new find
Detected Text
1 10 11 12 17 19 2007 39 3rd 4 40 6 abyssinian album andrew artists abcreole adslack all apocalypse archive as beats best better brand brooklyn blue blóg city cornel crazy cry captain complete coup's crew democracy disciples dope documentary educate energy fall favorite frofile fun february genocide get grouch group gabriel gabriel's gifted gold hands hard hell heroes hop he here's i i'ma i'm i've induced if january jazz juice kill khingz lb legend lp luke lyrics landlord learn lifesavas lovework lucky matters media mic multitude makoma man march market massline me monday nw now orr's perform pharisees production practices quannum readin rebuke rocking review silent steal saturday scholars seattle show sidepart smart spinnin storytelling teodros view watchin wsu wwws west what years you're zion a addition after and answered at become been black boots born but campus common coup creole does doing emcee enough except find first for front got gotten has have him hip hooking in included inflammation is it just know laced last let like listening lot mention much my new not of off on one opening out political pretty quite recent release releases right rocked said same saw say second see set shows site some something sounds stage step stones storyteller stuff sure sweet teacher team tell that the their them these things three through to two up waiting want was what's while who will with you your
overall
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curation
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highlight visibility
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behavioral
(70.26%)
failure
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harmonious color
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immersiveness
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interaction
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interesting subject
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intrusive object presence
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lively color
(29.64%)
low light
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noise
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pleasant camera tilt
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pleasant composition
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pleasant lighting
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pleasant pattern
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pleasant perspective
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pleasant post processing
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pleasant reflection
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pleasant symmetry
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sharply focused subject
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tastefully blurred
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well chosen subject
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well framed subject
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well timed shot
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all
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* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.