Dataset Versions

v2

2023-09-17 8:17pm

Generated on Sep 17, 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 97%
339Images
Valid Set 2%
8Images
Test Set 1%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 16% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±23° Vertical
Grayscale: Apply to 32% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -48% and +48%
Exposure: Between -11% and +11%
Blur: Up to 3.75px
Noise: Up to 1% of pixels
Cutout: 6 boxes with 2% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 5% Minimum Zoom, 26% Maximum Zoom
Bounding Box: Rotation: Between -22° and +22°
Bounding Box: Shear: ±9° Horizontal, ±19° Vertical
Bounding Box: Brightness: Between -37% and +37%
Bounding Box: Exposure: Between -42% and +42%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 2% of pixels

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