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Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('imagefolder', {}), NamedSplit('validation'): ('imagefolder', {}), NamedSplit('test'): ('text', {})}
Error code: FileFormatMismatchBetweenSplitsError
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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
- Go to your Kaggle notebook
- Click "Add data" -> "Hugging Face"
- Search for "pool-detection"
- 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.
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