fuck_it_we_ball Dataset

v1

2024-08-26 3:06am

Generated on Aug 26, 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.
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Dataset Split

Train Set 82%
1464Images
Valid Set 11%
190Images
Test Set 7%
123Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x240
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.7px
Noise: Up to 0.42% of pixels