Dataset Versions

v10

2024-10-14 12:29pm

Generated on Oct 14, 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 83%
3005Images
Valid Set 9%
329Images
Test Set 8%
291Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1200x1500
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.93% of pixels

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