Dataset Versions

v9

2024-04-29 10:12pm

Generated on Apr 29, 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 88%
7038Images
Valid Set 8%
635Images
Test Set 4%
312Images

Preprocessing

Resize: Fill (with center crop) in 700x1000

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -38% and +38%
Noise: Up to 2.75% of pixels
Cutout: 14 boxes with 6% size each

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