Dataset Versions

v1

2024-12-08 2:11pm

Generated on Dec 8, 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.
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Dataset Split

Train Set 88%
804Images
Valid Set 8%
75Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -40° and +40°
Grayscale: Apply to 38% of images
Saturation: Between -53% and +53%
Brightness: Between -65% and +65%
Bounding Box: Shear: ±33° Horizontal, ±26° Vertical

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