Dataset Versions

v6

2023-03-30 6:06pm

Generated on Mar 30, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 89%
15039Images
Valid Set 7%
1162Images
Test Set 4%
702Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 7 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Hue: Between -6° and +6°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2.25px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -15% and +15%

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