Table 1

Table 2

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Table 1: Precision, Recall, and F-1 Score For Each Wound Category.

Table 2: Key Hyperparameters Used In Training

True Label	Cuts	Lacerations	Burns
Predicted Label	Lacerations	Cuts	Bruises

Example of Misclassified Wounds.

Figure 1: Wound Dataset Image Classification. (Count of Images per Label)

Figure 2

Figure 3: VGG16 Custom Layers. (VGG16 Model Architecture)

Figure 4: VGG16 Model Architecture. (Convolutional Layers)

Figure 4

Figure 5

Figure 4: ROC curves for Wound Classification Categories.

Figure 5: Confusion Matrix for Classification Of Wound Images. (True Labels, Predicted Labels)