---
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
---

# C3: Condition Classifier CNN

By Team 113036 Dataset Unavailable.

## Summary

Our model utilizes a multi-scale convolutional neural network (CNN) to achieve a remarkable 99.7% accuracy and a cross-entropy loss of 0.062 on the validation set for condition classification.

### Data

- **Training Set:** Augmented dataset from object IDs 1 to 11, with an augmentation factor of 1000x, totaling 44,000 items.
- **Validation Set:** Augmented dataset from object IDs 12 and 13, with the same augmentation factor of 1000x, totaling 8,000 items.

## Training Metrics

Detailed training metrics and history of our model can be accessed [here](https://huggingface.co./JacobLinCool/imbd-2024-c3-1000x-2/tensorboard).