Dataset Versions

v2

2023-06-18 11:44am

Generated on Jun 18, 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.
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Dataset Split

Train Set 82%
112Images
Valid Set 12%
16Images
Test Set 6%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 340x450
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Rotation: Between -17° and +17°
Saturation: Between -73% and +73%
Blur: Up to 2.75px
Noise: Up to 20% of pixels
Cutout: 13 boxes with 9% size each

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