Dataset Versions

v2

2024-07-02 2:24am

Generated on Jul 2, 2024

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.
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Dataset Split

Train Set 87%
7938Images
Valid Set 9%
784Images
Test Set 5%
441Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 7 rows x 7 columns
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Noise: Up to 0.97% of pixels
Cutout: 5 boxes with 20% size each
Bounding Box: Flip: Horizontal, Vertical

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