Dataset Versions

v10

2024-10-18 9:57am

Generated on Oct 18, 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%
3288Images
Valid Set 9%
325Images
Test Set 5%
172Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 0.5px

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