Dataset Versions

v15

resize640_aug10x_Classes-Player_Ref_Ball-150imgs

Generated on Dec 5, 2022

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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 96%
1030Images
Valid Set 3%
28Images
Test Set 2%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 2 dropped

Augmentations

Outputs per training example: 10
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 5% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 5 boxes with 1% size each

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