Dataset Versions

v4

first_10_imgs_512-flip-rotate-brightness-noise

Generated on Jun 14, 2023

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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
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Dataset Split

Train Set 94%
33Images
Valid Set 3%
1Images
Test Set 3%
1Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -13% and +13%
Exposure: Between -13% and +13%
Noise: Up to 6% of pixels

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