supervision-0.8.0

🚀 Added

• Support for dataset inheritance. The current Dataset got renamed to DetectionDataset. Now DetectionDataset inherits from BaseDataset. This change was made to enforce the future consistency of APIs of different types of computer vision datasets. (#100)
• Ability to save datasets in YOLO format using DetectionDataset.as_yolo. (#100)

>>> import supervision as sv

>>> ds = sv.DetectionDataset(...)
>>> ds.as_yolo(
...     images_directory_path='...',
...     annotations_directory_path='...',
...     data_yaml_path='...'
... )

• Support for DetectionDataset.split allowing to divide DetectionDataset into two parts. (#102)

>>> import supervision as sv

>>> ds = sv.DetectionDataset(...)
>>> train_ds, test_ds = ds.split(split_ratio=0.7, random_state=42, shuffle=True)

>>> len(train_ds), len(test_ds)
(700, 300)

🌱 Changed

• Default value of approximation_percentage parameter from 0.75 to 0.0 in DetectionDataset.as_yolo and DetectionDataset.as_pascal_voc. (#100)

🏆 Contributors

• @SkalskiP