fuck_it_we_ball Dataset

v4

2024-08-27 3:48pm

Generated on Aug 27, 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 83%
1725Images
Valid Set 10%
215Images
Test Set 7%
136Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 425x320
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -18° and +18°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3.5px
Noise: Up to 1.88% of pixels