Dataset Versions

v5

2023-10-06 11:18am

Generated on Oct 6, 2023

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.
Other Formats
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Dataset Split

Train Set 82%
17400Images
Valid Set 12%
2480Images
Test Set 6%
1244Images

Preprocessing

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 30% of images
Hue: Between -90° and +90°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 4% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -1° and +1°
Bounding Box: Shear: ±1° Horizontal, ±1° Vertical

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