README.md

metadata

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

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

from ultralytics import YOLO

model = YOLO('yolov8n.pt')
model.train(data='data.yaml', epochs=100)

Citation

If you use this dataset, please cite appropriately.