Dataset Versions

v3

2024-09-17 11:16am

Generated on Sep 17, 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 89%
960Images
Valid Set 7%
72Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-70% Horizontal Region, 6-100% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.3px
Bounding Box: Shear: ±7° Horizontal, ±7° Vertical
Bounding Box: Blur: Up to 2.5px