Dataset Versions

v1

2024-05-30 11:48pm

Generated on May 30, 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 82%
189Images
Valid Set 14%
32Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -10% and +10%
Noise: Up to 1.25% of pixels
Bounding Box: Flip: Horizontal, Vertical

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