Dataset Versions

v2

2023-12-09 12:41am

Generated on Dec 8, 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 87%
327Images
Valid Set 8%
31Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -38% and +38%
Blur: Up to 3.5px
Noise: Up to 10% of pixels

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