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license: mit
task_categories:
- object-detection
tags:
- yolo
- computer-vision
- pool
- billiards
size_categories:
- n<1K
---
# Pool Detection Dataset
This is a YOLO format dataset for object detection tasks.
## Dataset Structure
```
pool/
train/
images/
labels/
valid/
images/
labels/
test/
images/
labels/
data.yaml
```
## Classes
The dataset contains 16 classes representing pool balls (numbered 0-15).
## Usage
### In Python
```python
from datasets import load_dataset
dataset = load_dataset("nhantu2107/pool-detection")
```
### In Kaggle
1. Go to your Kaggle notebook
2. Click "Add data" -> "Hugging Face"
3. Search for "pool-detection"
4. Click "Add"
### With YOLOv8/YOLOv11
```python
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
model.train(data='data.yaml', epochs=100)
```
## Citation
If you use this dataset, please cite appropriately.
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