Fig. 4From: DiSCount: computer vision for automated quantification of Striga seed germinationFrequency distribution of the accuracy of the estimated germination rate compared to the ground truth for each individual test image in the validation (back) and test (grey) datasets. The results show a similar distribution with 80% of the images in the 0–5% error range in both the validation and test data using the same neural networkBack to article page