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. 2015 May 18;10(5):e0127659. doi: 10.1371/journal.pone.0127659

Fig 4. Characterisation of the quantity of training material required to achieve high prediction accuracy with QuantiFly software.

Fig 4

The QuantiFly software accuracy was compared on transparent and opaque media datasets after training with 1–7 training images. (A) Average accuracy of algorithm when compared to digital ground-truth for transparent media datasets (a-e). (B) Average number of eggs labelled for each level of training for transparent media dataset. (C) Average accuracy of algorithm when compared to digital ground-truth for opaque media datasets (f-j) (D) Average number of eggs labelled for each level of training for opaque media dataset. Each level of training was performed on every image in the dataset and repeated 5 x. for each dataset and the accuracy averaged across all data. Error bars are SE. Students t-test paired two-way analysis was performed on data (p<0.05)