amz Dataset

v3

Initial

Generated on Sep 15, 2024

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%
3021Images
Valid Set 6%
217Images
Test Set 6%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1080x1080
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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