Dataset Versions

v8

2023-11-20 5:14pm

Generated on Nov 20, 2023

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%
1230Images
Valid Set 9%
120Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-82% Horizontal Region, 20-81% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Cutout: 4 boxes with 10% size each

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