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🫧 TinyBubble Dataset

TinyBubble is a multi-task benchmark for bubble flow detection. It supports 5+ annotation formats including HBB, OBB, and Segmentation.

🛠️ Toolkit & Scripts

To facilitate multi-format training, we provide a specialized toolkit in the /tools directory:

  • Format Converters: obb2coco.py, yolo2coco.py, and yolo2dota.py for seamless transitions between annotation standards.
  • Data Integrity: check_duplicated_yolo.py to ensure dataset uniqueness and correct_cocorf.py for Roboflow-specific COCO fixes.
  • Quick Instance and Image Counts: count_instances.py to count images and instance quantity in train and val splits.
  • Visualization: viz_samples.py,viz_yolo_det.py,viz_yolo_obb.py,viz_yolo_seg.py, viz_yolo_together.py,viz_dota.py scripts to overlay OBB and Segmentation masks for manual verification.

⚠️ Annotation Notes: Edge Cases

  • Boundary Bubbles: Bubbles located at the image edges may appear as standard HBB (Horizontal Bounding Boxes) rather than OBB.
  • Reason: Rotation angles are difficult to determine when the bubble is truncated by the frame.
  • Impact: When training OBB models, these instances provide a 'neutral' rotation signal.

Dataset Structure

The dataset is organized into subfolders for each format. Select the configuration in the Hugging Face viewer to preview specific formats.

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