Deep learning is one of the most popular fields in AI. Impressive results have been achieved in fields like natural language processing (NLP) and image classification. However, as these results may seem promising, deep learning scholarship is in a ‘reproducibility crisis’ (Barber, 2019). Results from many papers are difficult to replicate, often due to a lack of information given by the authors (e.g. hyperparameters, algorithms, network architecture) and datasets not being publicly available. Because of this, we decided to reproduce a paper by Bargoti & Underwood (2017), called Deep Fruit Detection in Orchards.

If someone mentions deep learning, many of…

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