Dataset Versions

v2

2024-06-07 4:29pm

Generated on Jun 7, 2024

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.
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Dataset Split

Train Set 94%
16005Images
Valid Set 4%
656Images
Test Set 2%
314Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Brightness: Between -15% and +15%
Exposure: Between -6% and +6%
Blur: Up to 1.2px
Noise: Up to 0.3% of pixels

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