Dataset Versions

v7

new_data_3340

Generated on Jun 2, 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 87%
2913Images
Valid Set 8%
277Images
Test Set 5%
152Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Hue: Between -51° and +51°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -21% and +21%
Bounding Box: Flip: Horizontal, Vertical

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