Dataset Versions

v4

2023-08-20 7:56pm

Generated on Aug 20, 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 85%
6777Images
Valid Set 9%
729Images
Test Set 6%
504Images

Preprocessing

Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Saturation: Between -25% and +25%
Exposure: Between -8% and +8%
Noise: Up to 10% of pixels
Cutout: 3 boxes with 15% size each

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