Dataset Versions

v2

Mag 95 ka part 2

Generated on Aug 3, 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 88%
405Images
Valid Set 8%
37Images
Test Set 4%
18Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 10% of images
Hue: Between -100° and +100°
Saturation: Between -75% and +75%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 15px
Noise: Up to 5% of pixels
Cutout: 20 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±30° Horizontal, ±30° Vertical
Bounding Box: Brightness: Between -50% and +50%
Bounding Box: Exposure: Between -40% and +40%
Bounding Box: Blur: Up to 20px
Bounding Box: Noise: Up to 5% of pixels

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