Dataset Versions

v1

2022-03-24 8:32pm

Generated on Mar 24, 2022

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%
15831Images
Valid Set 8%
1512Images
Test Set 4%
753Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 0-47% Vertical Region
Resize: Fit (black edges) in 320x320

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 90% of images
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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