Dataset Versions

v5

2023-08-24 7:30pm

Generated on Aug 24, 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 87%
321Images
Valid Set 9%
32Images
Test Set 4%
14Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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