Dataset Versions

v1

test 1

Generated on Aug 28, 2024

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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
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Dataset Split

Train Set 88%
498Images
Valid Set 8%
47Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -16° and +16°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -17% and +17%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels

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