File size: 1,076 Bytes
aa77342 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
# rolo_yolo_fast2
## Model Overview
**Architecture:** YOLOv11
**Training Epochs:** 50
**Batch Size:** 16
**Optimizer:** auto
**Learning Rate:** 0.001
**Data Augmentation Level:** Basic
## Training Metrics
- **[email protected]:** 0.995
## Class IDs
| Class ID | Class Name |
|----------|------------|
| 0 | Panadol |
| 1 | Revanin |
## Datasets Used
- Drug Classification
## Class Image Counts
| Class Name | Image Count |
|------------|-------------|
| Panadol | 116 |
| Revanin | 122 |
## Description
This model was trained using the YOLOv11 architecture on a custom dataset. The training process involved 50 epochs with a batch size of 16. The optimizer used was **auto** with an initial learning rate of 0.001. Data augmentation was set to the **Basic** level to enhance model robustness.
## Usage
To use this model for inference, follow the instructions below:
```python
from ultralytics import YOLO
# Load the trained model
model = YOLO('best.pt')
# Perform inference on an image
results = model('path_to_image.jpg')
# Display results
results.show()
|