Dataset Versions

v8

2024-11-14 10:03am

Generated on Nov 14, 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%
771Images
Valid Set 8%
73Images
Test Set 4%
37Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.42% of pixels

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