Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer

Table 4

Performance of the proposed method compared with other published methods for mushroom classification.

Authors	Methods description	Accuracy (%)
Maurya et al. [22]	Classification of mushrooms using texture features based on an SVM classifier	76.60
Sajedi et al. [31]	Four-layer CNN model with MLP classifier	80.70
Zahan et al. [4]	Inception-V3 deep learning network and contrast-limited adaptive histogram equalization	88.40
Kiss et al. [55]	Transfer learning, noisy student, and EfficientNet-B5 model	92.60
Devika et al. [32]	DCNN model with four convolutional layers and one fully connected layer	93.00
Ours	Data augmentation, transfer learning and vit-l/32 network	95.97