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@@ -18,6 +18,8 @@ It was created as part of the end-to-end Deep Learning Project learning process.
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  ## Intended uses & limitations
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  This model was trained on roughly 150 pictures of each category and performed well. However, it was not vigorously tested and so may perform badly on some edge cases images and may contain bias e.g. when training, I noticed that most images of caterpillars were next to leaves and plantation, so it may have learnt to associate that environment with a caterpillar.
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  ## Training and evaluation data
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  I scrapped the internet for pictures of the three categories to train this model. Duckduckgo was used.
 
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  ## Intended uses & limitations
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  This model was trained on roughly 150 pictures of each category and performed well. However, it was not vigorously tested and so may perform badly on some edge cases images and may contain bias e.g. when training, I noticed that most images of caterpillars were next to leaves and plantation, so it may have learnt to associate that environment with a caterpillar.
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+ If you notice any weird behavior, leave a comment on the `Community Tab`.
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  ## Training and evaluation data
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  I scrapped the internet for pictures of the three categories to train this model. Duckduckgo was used.