Dataset Versions

v3

2024-10-06 4:26pm

Generated on Oct 6, 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%
873Images
Valid Set 8%
83Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 20x20

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -7° and +7°
Exposure: Between -10% and +10%

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