Dataset Versions

v3

1xGeneration-FAST-model_trainedFromV1Chkpt

Generated on Jul 29, 2022

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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 63%
6256Images
Valid Set 25%
2488Images
Test Set 12%
1247Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 1
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 5% size each

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