How to Train Your Chungus - ML Model Training Data Input Guidelines

 How to Train Your Chungus 

 ML Model Training Data Input Guidelines

 1. Please use English (or convert using Google Translate and get feedback).
 2. Medium length sentences. All of the possible details can't be captured at once.
 3. Multiple entries are better than too much detail or a convoluted phrase.
 4. Describe the speci cs of the Chungus in the training image such as accessories,
 size relative to background, color, hair, clothes, etc.
 5. Describe the background and what is in it, such as sky, grass, buildings, water,
 the moon, other clearly visible objects. If there is no background you may use
 words like plain, empty, or omit description.
 6. Describe the context such as what the Chungus is made of, if it is on the cover of
 a game, in a cartoon, etc.
 7. Describe the the style of the image or art. Is it illustrated or sketched? Is it drawn
 in pencil? pen? crayon? Does it look like a 3D model? Is it photorealistic? Is it
 abstract or otherwise stylized?
 8. Try to cover these in di erent descriptions. Feel free to check other submissions
 to see what has been covered, but please avoid copy pasta. This won't work for
 model training.

Copyright© 2021 Chungus Coin BSC (Big Chungus Coin). The methods/practices outlined and described in this document are the
copyrighted intellectual property of Chungus Coin BSC (Big Chungus Coin). All rights are reserved. No portion, description, or
piece of the process and information heretofore contained may be disseminated or used without express written permission of
Chungus Coin BSC. Big Chungus Coin retains ownership of all developments, information, and data submitted for machine
learning technology generated through this process and methodology. No rights to this process nor data are waived.
 https://ChungusCoinBSC.io
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NFT Deep Learning Model Overview

The (beta) NFT generation pipeline is a sequence of stages that can be
imagined as a team of people that can only do speci c things well.

 The Translator The Artist The Critic

 Descriptive English
 Input Translation Draft Art
 phrase
 Candidate
 Output Translation Draft Art
 NFT Images

Copyright© 2021 Chungus Coin BSC (Big Chungus Coin). The methods/practices outlined and described in this document are the
copyrighted intellectual property of Chungus Coin BSC (Big Chungus Coin). All rights are reserved. No portion, description, or
piece of the process and information heretofore contained may be disseminated or used without express written permission of
Chungus Coin BSC. Big Chungus Coin retains ownership of all developments, information, and data submitted for machine
learning technology generated through this process and methodology. No rights to this process nor data are waived.
 https://ChungusCoinBSC.io
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The Translator 

The Translator takes a natural language input (in this case, we're using English)
and converts this to a request for The Artist.

The Translator will try to provide the most relevant information from the input
description to The Artist. As language is ambiguous, especially for a simple
model like this, there may be multiple valid conversions or it may be hard to get
the point across.

Some languages have a certain je ne sais quoi that isn't perfectly captured in
others. Same case here.

If a picture is worth a 1000 words, a sentence can only capture a fraction of a
picture! Because of this The Translator will extrapolate from what is in the
sentence -- the best sentences indicate what is important to show!

Copyright© 2021 Chungus Coin BSC (Big Chungus Coin). The methods/practices outlined and described in this document are the
copyrighted intellectual property of Chungus Coin BSC (Big Chungus Coin). All rights are reserved. No portion, description, or
piece of the process and information heretofore contained may be disseminated or used without express written permission of
Chungus Coin BSC. Big Chungus Coin retains ownership of all developments, information, and data submitted for machine
learning technology generated through this process and methodology. No rights to this process nor data are waived.
 https://ChungusCoinBSC.io

The Artist 

You can think of The Artist as being a genius painter who can reproduce any
style it has ever seen and combine existing styles in new ways. However, The
Artist is also flawed.

Our inputs are in English and assume that The Artist is like Michelangelo and
speaks 15th century Italian. The Artist is totally dependent on The Translator to:
 • know what to paint, • colors (warm yellow light,
 • what style to paint (hand drawn purple haze, etc.).
 illustration? impressionist?) •
 • what to include in painting,
Furthermore, The Translator sort of also does its best of guessing what Italian
 of the day would have sounded like, but it doesn't do this perfectly. For this
to work well, input data with the Chungus needs to be described in varying
levels of detail, with words that focus on and highlight di erent aspects of the
scene as interpreted by human eyes.

Think of Picasso and Rembrandt, Giggs and Grimes, Bob Dylan and Bobby
Shmurda ... Each has a particular style and sees the world di erently. The Artist
is capable of generating art beyond what we simple meat husks can understand
and, thus, appreciate and enjoy. And while the output is certainly novel, we want
to make sure The Artist is painting for the entertainment of its Chungus Patrons.

Copyright© 2021 Chungus Coin BSC (Big Chungus Coin). The methods/practices outlined and described in this document are the
copyrighted intellectual property of Chungus Coin BSC (Big Chungus Coin). All rights are reserved. No portion, description, or
piece of the process and information heretofore contained may be disseminated or used without express written permission of
Chungus Coin BSC. Big Chungus Coin retains ownership of all developments, information, and data submitted for machine
learning technology generated through this process and methodology. No rights to this process nor data are waived.
 https://ChungusCoinBSC.io
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The Critic 

 The Critic solves this problem by guiding The Artist toward acceptable
 outputs. It takes draft art and advises The Artist on whether the generated
 image is good or if it should take the paper, rip it into little pieces, light it on
 re, put the ashes into a dumpster, light the dumpster on re, then bury that
 dumpster in middle of the ocean.

 The Artist tries again and again until The Critic says the Draft is good enough
 for human review in the Chungus Community as a Candidate NFT image.

 ‼ Using your own words in the description
 will lead to a better model that is able to
 key on the precise aspects you noticed in
 the training images.

 THANK YOU FOR READING, LET’S GO
 MAKE SOME HOMEGROWN ORDINARY,
 EVERYDAY CUSTOM AS ALL GET OUT
 MACHINE LEARNING GENERATE NFTs
 THAT WILL CHANGE THE GAME!!

 Copyright© 2021 Chungus Coin BSC (Big Chungus Coin). The methods/practices outlined and described in this document are the
 copyrighted intellectual property of Chungus Coin BSC (Big Chungus Coin). All rights are reserved. No portion, description, or
 piece of the process and information heretofore contained may be disseminated or used without express written permission of
 Chungus Coin BSC. Big Chungus Coin retains ownership of all developments, information, and data submitted for machine
 learning technology generated through this process and methodology. No rights to this process nor data are waived.
 https://ChungusCoinBSC.io
fi
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