---
license: apache-2.0
tags:
- vision
- image-classification
---

[Github Repo](https://github.com/PogusTheWhisper/SurgiCare.git)

# SurgiCare_V1_best
I used EfficientNet-B3 to train for 25 epochs, monitoring the validation loss.
Accuracy: 0.9062 Approximately 11 seconds per image.

![alt text](https://raw.githubusercontent.com/PogusTheWhisper/SurgiCare/main/wound_classify_train/SurgiCare-V1-best.png)

# SurgiCare_V1_fast
I used MobileNetV3Large to train for 50 epochs, monitoring the validation loss.
Accuracy: 0.7969 Approximately 5 seconds per image.

![alt text](https://raw.githubusercontent.com/PogusTheWhisper/SurgiCare/main/wound_classify_train/SurgiCare-V1-fast.png)

# SurgiCare_V1_mini
I used MobileNetV3Small to train for 50 epochs, monitoring the validation loss.
Accuracy: 0.7812 Approximately 4 seconds per image.

![alt text](https://raw.githubusercontent.com/PogusTheWhisper/SurgiCare/main/wound_classify_train/SurgiCare-V1-mini.png)