Dataset Versions

v10

2024-06-25 6:43pm

Generated on Jun 25, 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 89%
2982Images
Valid Set 7%
226Images
Test Set 5%
155Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±7° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Noise: Up to 0.53% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -10% and +10%

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