Datasets:
image imagewidth (px) 128 128 | label stringlengths 24 53 |
|---|---|
labels/Qg_200_Ql_0_4.txt | |
labels/gaz_150_eau_1200_000157_34.txt | |
labels/gaz_150_eau_1200_000157_41.txt | |
labels/gaz_150_eau_1200_000157_65.txt | |
labels/gaz_150_eau_1200_000157_71.txt | |
labels/gaz_150_eau_1200_000157_72.txt | |
labels/gaz_150_eau_2400_000001_44.txt | |
labels/gaz_150_eau_2400_000001_45.txt | |
labels/gaz_150_eau_2400_000001_64.txt | |
labels/gaz_150_eau_2400_000001_71.txt | |
labels/gaz_150_eau_2400_000001_76.txt | |
labels/gaz_150_eau_2400_000019_20.txt | |
labels/gaz_150_eau_2400_000019_24.txt | |
labels/gaz_150_eau_2400_000019_36.txt | |
labels/gaz_150_eau_2400_000019_4.txt | |
labels/gaz_150_eau_2400_000019_68.txt | |
labels/gaz_200_eau_1200_000252_13.txt | |
labels/gaz_200_eau_1200_000252_39.txt | |
labels/gaz_200_eau_1200_000252_47.txt | |
labels/gaz_200_eau_1200_000252_52.txt | |
labels/gaz_200_eau_1200_000252_72.txt | |
labels/gaz_200_eau_1200_000276_18.txt | |
labels/gaz_200_eau_1200_000276_46.txt | |
labels/gaz_200_eau_1200_000276_54.txt | |
labels/gaz_200_eau_1200_000276_6.txt | |
labels/gaz_200_eau_1200_000276_64.txt | |
labels/gaz_200_eau_2400_000140_10.txt | |
labels/gaz_200_eau_2400_000140_29.txt | |
labels/gaz_200_eau_2400_000140_42.txt | |
labels/gaz_200_eau_2400_000140_52.txt | |
labels/gaz_200_eau_2400_000140_74.txt | |
labels/gaz_200_eau_2400_000374_1.txt | |
labels/gaz_200_eau_2400_000374_10.txt | |
labels/gaz_200_eau_2400_000374_24.txt | |
labels/gaz_200_eau_2400_000374_68.txt | |
labels/gaz_200_eau_2400_000374_76.txt | |
labels/gaz_50_000001_288_768_416_896.txt | |
labels/gaz_50_000001_576_576_704_704.txt | |
labels/gaz_50_000001_576_672_704_800.txt | |
labels/gaz_50_000001_640_896_768_1024.txt | |
labels/gaz_50_000001_768_384_896_512.txt | |
labels/gaz_50_000005_0_576_128_704.txt | |
labels/gaz_50_000005_384_896_512_1024.txt | |
labels/gaz_50_000005_480_576_608_704.txt | |
labels/gaz_50_000005_96_288_224_416.txt | |
labels/gaz_50_000005_96_768_224_896.txt | |
labels/gaz_50_eau_1200_000092_14.txt | |
labels/gaz_50_eau_1200_000092_15.txt | |
labels/gaz_50_eau_1200_000092_25.txt | |
labels/gaz_50_eau_1200_000092_44.txt | |
labels/gaz_50_eau_1200_000092_51.txt | |
labels/gaz_50_eau_2400_000609_16.txt | |
labels/gaz_50_eau_2400_000609_55.txt | |
labels/gaz_50_eau_2400_000609_57.txt | |
labels/gaz_50_eau_2400_000609_59.txt | |
labels/gaz_50_eau_2400_000609_9.txt | |
labels/gaz_80_eau_2400_001297_15.txt | |
labels/gaz_80_eau_2400_001297_33.txt | |
labels/gaz_80_eau_2400_001297_69.txt | |
labels/gaz_80_eau_2400_001297_84.txt | |
labels/gaz_80_eau_2400_001297_86.txt | |
labels/p4_150_eau_600_000332_17.txt | |
labels/p4_150_eau_600_000332_3.txt | |
labels/p4_150_eau_600_000332_40.txt | |
labels/p4_150_eau_600_000332_44.txt | |
labels/p4_150_eau_600_000332_5.txt | |
labels/p4_150_eau_600_003242_16.txt | |
labels/p4_150_eau_600_003242_20.txt | |
labels/p4_150_eau_600_003242_22.txt | |
labels/p4_150_eau_600_003242_31.txt | |
labels/p4_150_eau_600_003242_32.txt | |
labels/p4_150_eau_600_005997_1.txt | |
labels/p4_150_eau_600_005997_16.txt | |
labels/p4_150_eau_600_005997_30.txt | |
labels/p4_150_eau_600_005997_33.txt | |
labels/p4_150_eau_600_005997_41.txt | |
labels/p4_200_eau_600_000220_10.txt | |
labels/p4_200_eau_600_000220_16.txt | |
labels/p4_200_eau_600_000220_36.txt | |
labels/p4_200_eau_600_000220_62.txt | |
labels/p4_200_eau_600_000220_9.txt | |
labels/p4_200_eau_600_000341_11.txt | |
labels/p4_200_eau_600_000341_15.txt | |
labels/p4_200_eau_600_000341_26.txt | |
labels/p4_200_eau_600_000341_36.txt | |
labels/p4_200_eau_600_000341_74.txt | |
labels/unclassified_exps_000000_6_342_480_470_608.txt | |
labels/unclassified_exps_000002_342_384_470_512.txt | |
labels/unclassified_exps_000004_0_96_128_224.txt | |
labels/unclassified_exps_000004_128_512_256_640.txt | |
labels/unclassified_exps_000006_342_0_470_128.txt | |
labels/unclassified_exps_000006_96_288_224_416.txt | |
labels/unclassified_exps_000019_192_672_320_800.txt | |
labels/unclassified_exps_000020_342_576_470_704.txt | |
labels/unclassified_exps_000032_288_0_416_128.txt | |
labels/unclassified_exps_000032_288_384_416_512.txt | |
labels/unclassified_exps_000032_342_192_470_320.txt | |
labels/unclassified_exps_000032_96_672_224_800.txt |
🫧 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, andyolo2dota.pyfor seamless transitions between annotation standards. - Data Integrity:
check_duplicated_yolo.pyto ensure dataset uniqueness andcorrect_cocorf.pyfor Roboflow-specific COCO fixes. - Quick Instance and Image Counts:
count_instances.pyto 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.pyscripts 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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