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Reflect on the relationship between labels and images in a machine learning image classification dataset. Who has the power to label images and how do those labels and machine learning models trained on them impact society?

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The artist René Magritte completed a painting of a pipe and coupled it with the words “Ceci n’est pas une pipe.” Magritte called the painting La trahison des images, “The Treachery of Images.”

Magritte’s assumption was almost diametrically opposed: that images in and of themselves have, at best, a very unstable relationship to the things seem to represent, one that can be sculpted by whoever has the power to say what a particular image means. For Magritte, the meaning of images is relational, open to contestation. At first blush, Magritte’s painting might seem like a simple semiotic stunt, but the underlying dynamic Magritte underlines in the painting points to a much broader politics of representation and self-representation.

Anyone is able to label images for the classification dataset and that is what makes up the classification. The models then use this dataset to label other images.

• Society first influences the dataset and can thus become something negative or positive presented with anything.
• The AI models then use this dataset to be trained and when used, the results may vary based on the dataset it is given. It can be positive, negative, both, gibberish, or completely irrelevant.
• The results also then impacts society because depending on the dataset, people can take what the AI gives them as fact and confuse people. As read in the reading, the classification dataset is very misogynistic, thus the results for this can also be misogynistic. It might’ve been a joke at first but as more and more people use it, society can may take it seriously and become more discriminatory than expect.

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Include visual documentation such as a recorded screen capture / video / GIFs of training the model and working in p5. You may include both in one post or write two separate posts if you prefer.

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https://editor.p5js.org/Yigl00/sketches/xTgHuqkjm

So for this coding assignment, I thought of making something similar to the snake game where the snake eats this apple to get longer. Instead of making it longer, I chose for the player to become bigger.

https://drive.google.com/file/d/1KAjAQpf_JPFqA0NiUkY3OqOmEaaBb3FU/view?usp=drive_web

I was training the model in teachable machines as seen in the video below, sometimes it doesn’t classify correctly but I deemed it to be enough for the code. If given more time for training the machine itself, I think I would probably add more sample in different settings, times, and angles as I learned that the angle I took these samples in also affected the results for coding.

https://drive.google.com/file/d/1GBUCFuIk6-2ov4iev8LXKgfTpCn3bnCt/view?usp=drive_web

https://drive.google.com/file/d/1iPJLq4el3d0mYfLKSFCRImlTjB8bn-Jz/view?usp=drive_web