Dataset Versions

v3

2023-06-22 12:23pm

Generated on Jun 22, 2023

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 88%
1494Images
Valid Set 8%
136Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Hue: Between -60° and +60°
Saturation: Between -40% and +40%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Noise: Up to 5% of pixels

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