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Update README.md (#1)

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@@ -115,7 +115,7 @@ Note that the final model is trained on all data, so we expect performance to in
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  ### _Limitations_
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  The evaluation results described above may not be representative of real-world performance of the model for several reasons.
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- Firstly, the model was only trained and evaluated on photos of snippets with relatively plain backgrounds and relatively good lightning conditions.
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  This may or may not be feasible in practice.
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  We expect the model to perform better when photos are of better quality, when there are a large number of snippets with distinctive characteristics in the photo, and when there is a lot of text on the snippets (that is entered correctly).
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  The fewer of these requirements are met, the lower we expect the performance of the algorithm to be.
 
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  ### _Limitations_
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  The evaluation results described above may not be representative of real-world performance of the model for several reasons.
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+ Firstly, the model was only trained and evaluated on photos of snippets with relatively plain backgrounds and relatively good lighting conditions.
119
  This may or may not be feasible in practice.
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  We expect the model to perform better when photos are of better quality, when there are a large number of snippets with distinctive characteristics in the photo, and when there is a lot of text on the snippets (that is entered correctly).
121
  The fewer of these requirements are met, the lower we expect the performance of the algorithm to be.