Dataset Versions

v2

2023-05-12 7:22pm

Generated on May 12, 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.
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Dataset Split

Train Set 82%
210Images
Valid Set 12%
30Images
Test Set 7%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 4px
Noise: Up to 5% of pixels
Mosaic: Applied

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