v1

2023-03-22 2:54pm

Generated on Mar 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.
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Dataset Split

Train Set 87%
855Images
Valid Set 9%
88Images
Test Set 4%
42Images

Preprocessing

No preprocessing steps were applied.

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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 2% size each
Mosaic: Applied

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