Whether the data is approved by the data owner.
Whether the user of the data knows the source of the data.
How to correct errors if a user finds something wrong with the data.
What other effects will occur if the model classification is biased?
Add the source of the data information, what the data originally looked like.
Annotate how the user should use the data.
Specify guidelines and ethical statements for the use of data and models.
Knowing the source of the model will affect how I use the model. If I know that the source of the model is reliable, I will carefully use it, but if I can't see the source of the model, I will doubt the accuracy of the model and cannot guarantee the quality of my next content.
In addition, I can know the upload time of the model, so I know when the data is valid before and when it is not updated after, so I can use it more carefully.
Finally, I understand the source of this data, which can come from different types of materials, such as books, pictures, videos, etc. These different aspects of content can help me obtain more comprehensive information.
Document your response to the Data and Model biography as well as your p5.js sketch in a blog post and add a link to the post / your p5 sketch on the Assignment 3 Wiki. In your blog post, include visual documentation such as a recorded screen capture / video / GIFs of your sketch.
I used the following example, then adjusted the position of the nose to the left shoulder, and changed the circle to a heart, which I wanted to use to mimic our hearts.