Dataset Versions

v3

2024-10-31 7:03am

Generated on Oct 31, 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 92%
1428Images
Valid Set 8%
120Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -20% and +20%
Blur: Up to 0.4px