Dataset Versions

v3

2023-11-10 4:47pm

Generated on Nov 10, 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 84%
216Images
Valid Set 8%
20Images
Test Set 8%
20Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±32° Horizontal, ±29° Vertical
Brightness: Between -36% and +36%
Blur: Up to 9px
Noise: Up to 9% of pixels
Mosaic: Applied

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