Dataset Versions

v1

2024-06-06 4:45pm

Generated on Jun 6, 2024

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.
Other Formats
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Dataset Split

Train Set 96%
29325Images
Valid Set 4%
1125Images
Test Set 0%
135Images

Preprocessing

Auto-Orient: Applied
Tile: 5 rows x 3 columns

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 1.5px