Dataset Versions

v1

2024-10-10 5:26pm

Generated on Oct 10, 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%
474Images
Valid Set 6%
34Images
Test Set 6%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -40% and +40%
Noise: Up to 2% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Noise: Up to 2% of pixels

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