Dataset Versions

v9

2022-06-27 12:35pm

Generated on Jun 27, 2022

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 89%
957Images
Valid Set 6%
68Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Brightness: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 3% size each
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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