Dataset Versions

v5

2024-07-18 11:39am

Generated on Jul 18, 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 84%
1584Images
Valid Set 8%
151Images
Test Set 8%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Applied
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Noise: Up to 0.89% of pixels

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